Data Architecture Manager Jobs in Bengaluru

Job Title: Manager - Data Analytics, Credit Card Portfolios Location: Bangalore Employment Type: Full-time About Zeta: Zeta is a next-gen banking technology company empowering banks and fintechs to build the future of financial products. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform Zeta Tachyon is a cloud-native, fully API-enabled banking stack powering issuance, processing, lending, core banking, fraud & risk, and more. Over 20 million cards have been issued globally through our platform. With 1,700+ employees across the US, EMEA, and Asia and 70%+ in R&D, Zeta is backed by SoftBank, Mastercard, and others, having raised $330M at a $2B valuation in 2025. We work with leading banks and fintechs worldwide to transform multi-million card portfolios. Role Overview: We are looking for a strategic and experienced Manager - Data Analytics to lead business intelligence and enterprise reporting for global fintech portfolios including Credit Cards, Deposits, and other financial products. This role involves managing a team of analysts, leveraging multiple data lakes and warehouses, and building a scalable, comprehensive reporting framework for diverse markets including the US, UK, and India. Key Responsibilities: Enterprise Reporting & Data Architecture: Design and maintain end-to-end reporting across the customer lifecycle: acquisition, activation, usage, delinquency, collections, retention, operations, and support. Deliver accurate analysis of key financial KPIs: revenue, profitability, credit risk, defaults, acquisition cost. Build dashboards, self-service BI tools, and automated pipelines using Apache Superset, Metabase, Tableau. Optimize data storage and reporting for scalability and cost-efficiency. Data Integration & Analytics Execution: Collaborate with vendors and internal engineering to integrate data from credit bureaus, open banking, core banking, card and payment processors, loan origination, CCaaS, and aggregators into a centralized Data Lake. Business Intelligence & Growth: Lead analytics projects to uncover user behavior, optimize acquisition channels, underwriting, and portfolio performance via segmentation, cohort, and funnel analyses. Partner with Product and Marketing teams to evaluate experiments (A/B testing) and guide roadmap decisions. Leadership: Build, mentor, and lead a high-performing team of BI analysts and data visualization experts. Data Governance: Establish and enforce data governance best practices, ensuring compliance and data security. Skills & Experience: Expert in BI tools such as Apache Superset, Metabase, Tableau; strong SQL skills. Familiarity with cloud data platforms like Snowflake, Redshift, BigQuery. Deep knowledge of credit and fintech KPIs: acquisition, credit decisioning, delinquency, repayment, charge-offs, profitability, RoA, CLTV, etc. Proven leadership experience managing analytics teams and scaling reporting infrastructures. Excellent communication skills with the ability to translate complex data into business strategies. Knowledge of data governance, privacy, and security in financial services. Qualifications: 10+ years in Business Intelligence/Analytics with 3+ years in the credit card industry. 3+ years managing teams of analysts or data professionals. Bachelor s degree in Computer Science, Engineering, Statistics, or a related field. Equal Opportunity: Zeta celebrates diversity and is an equal opportunity employer. We are committed to fostering an inclusive environment and encourage candidates from all backgrounds to apply. Qualification : Bachelors degree in Computer Science, Engineering, Statistics, or a related field

Product Manager Data Warehouse & Business Intelligence Location: Bangalore Company: Mahindra First Choice About Mahindra First Choice Mahindra First Choice is a pioneer in India s multi-brand used car segment. With a strong focus on innovation, data-driven decision-making, and cutting-edge technology, we are transforming the automotive ecosystem and delivering seamless customer experiences. Our commitment to excellence fuels our drive to create scalable, impactful solutions across the value chain. Role Overview We are looking for a strategic and technically strong Product Manager to lead our Data Warehouse and Business Intelligence (BI) initiatives. Based in Bangalore, this role will own the vision, development, and optimization of enterprise-wide data products. You will play a critical role in enabling data-led decisions, working closely with engineering, analytics, and business teams to drive measurable outcomes. Key Responsibilities 1. Product Strategy & Roadmap Define the vision, strategy, and long-term roadmap for Data Warehouse and BI products. Align product goals with overall business strategy through collaboration with senior leadership. Stay abreast of emerging technologies and industry trends to drive innovation in data architecture and analytics. 2. Development & Execution Partner with engineering, data science, and analytics teams to build scalable, high-performance data platforms. Prioritize product features and enhancements based on impact, feasibility, and business value. Lead cross-functional teams to ensure timely and efficient delivery of data solutions. 3. Business Intelligence & Analytics Oversee the development of interactive BI dashboards, reports, and self-service tools to empower business users. Collaborate with business stakeholders to identify critical metrics and create meaningful data visualizations. Champion data quality, consistency, governance, and accessibility across all platforms. 4. Stakeholder Management Serve as the single point of contact for data needs across Sales, Marketing, Operations, Finance, and other departments. Communicate roadmaps, progress updates, and outcomes clearly and effectively to stakeholders at all levels. Gather continuous feedback to refine products and enhance user experience. 5. Performance Monitoring & Optimization Define and track KPIs to assess product adoption, usage, and business impact. Analyze system performance and user engagement to identify areas for improvement. Drive initiatives to increase data platform efficiency and reliability. Qualifications & Skills Required Bachelor s degree in Computer Science, Engineering, Business, or a related field (Master s preferred). 7+ years of experience in product management, specifically in data warehousing, business intelligence, or analytics. Deep understanding of data architecture, ETL processes, and data modeling. Hands-on experience with BI tools like Tableau, Power BI, or Looker. Strong SQL skills and familiarity with cloud platforms (AWS, Azure, GCP). Proven track record of managing complex, cross-functional data projects in fast-paced environments. Ability to translate business needs into scalable, data-driven solutions. Preferred Experience in automotive, mobility, or e-commerce domains. Familiarity with machine learning concepts and advanced analytics techniques. Soft Skills Strong communication, presentation, and stakeholder engagement skills. Analytical mindset with a focus on delivering business value through data. Effective leadership and cross-functional collaboration. High attention to detail and ability to manage multiple priorities. At Mahindra First Choice, you ll join a fast-growing, innovation-led organization at the forefront of transforming the used car market in India. This is a unique opportunity to shape our data landscape and make a real impact on business outcomes. If you're passionate about unlocking the power of data, we d love to meet you. Qualification : Bachelors degree in Computer Science, Engineering, Business, or a related field (Masters preferred)

Position: Snowflake Data Engineer Location: Remote/Hybrid | Bengaluru, IND What You'll Do: Design & Optimize Data Pipelines: Build and enhance data pipelines and workflows using Snowflake, Azure, and DBT for efficient data ingestion, transformation, and analytics. Boost Performance: Optimize query performance and data storage within Snowflake to ensure lightning-fast data processing and retrieval. Implement ETL/ELT: Design and implement robust ETL/ELT processes, fully leveraging Snowflake's powerful capabilities for data ingestion and transformation. Collaborate Cross-Functionally: Work closely with various teams to understand their data needs and deliver high-quality, scalable data solutions. Ensure Data Governance: Uphold stringent data security, compliance, and governance standards, including data privacy and regulatory requirements. What You'll Bring: Experience: 4-10 years in data engineering, with a minimum of 3 years directly with Snowflake. SQL Mastery: Expert-level proficiency in SQL, including advanced querying, performance tuning, and data modeling. Deep Snowflake Knowledge: In-depth understanding of Snowflake architecture, features, and best practices for optimization and data management. Data Warehousing: Strong grasp of data warehousing concepts and dimensional modeling. Microsoft Technologies: Familiarity with Microsoft SSIS, SSAS, and SSMS. IaC & CI/CD: Knowledge of Infrastructure as Code (IaC) tools like Terraform and experience with GitHub Actions for CI/CD. Workflow Orchestration: Experience with tools like Airflow for managing and automating data workflows. Problem-Solving & Communication: A proactive, positive attitude with excellent written and verbal communication skills. Education: Bachelor s degree in Computer Science, Information Systems, or a related field. Bonus Points If You Have: Migration Experience: Hands-on experience with SQL Server to Snowflake migrations, especially using Fivetran. DBT & Fivetran: Proficiency with the data build tool (dbt) for data transformation and Fivetran for data integration. Cloud Platforms: Knowledge of cloud platforms such as AWS, Azure, or GCP. Certifications: Relevant certifications like Snowflake SnowPro, AWS Certified Data Analytics, or Azure Data Engineer.

Position: Salesforce Developer (CPQ, Service Cloud, Billing) Location: Remote/Hybrid | Bengaluru, IND We're looking for a highly skilled Salesforce Developer with specialized expertise in Salesforce CPQ, Service Cloud, and Billing. If you have a strong background in developing and customizing Salesforce solutions that enhance sales, service, and billing processes, you'll be instrumental in designing and implementing complex, tailored solutions to meet our business needs. What You'll Do: CPQ Development: Customize and enhance Salesforce CPQ applications, including product configuration, pricing rules, quote templates, and approval processes. Service Cloud Development: Implement and customize Salesforce Service Cloud to optimize customer service operations, covering case management, service processes, and SLAs. Billing Implementation: Develop and integrate Salesforce Billing solutions, ensuring seamless end-to-end billing processes like invoicing, payment processing, and revenue recognition. System Integration: Integrate Salesforce CPQ, Service Cloud, and Billing with internal and third-party systems using REST/SOAP APIs, middleware, and custom integrations. Customization & Data Management: Design and implement custom objects, workflows, validation rules, and other Salesforce features. Ensure data integrity across all Salesforce clouds and connected systems, handling data migrations and quality controls. Quality Assurance: Conduct unit testing, integration testing, and debugging to ensure the stability and performance of Salesforce customizations and integrations. Documentation: Create and maintain comprehensive technical documentation, including system architecture and design specifications. Collaboration: Work closely with business analysts, project managers, and stakeholders to translate business requirements into effective technical solutions. Continuous Improvement: Stay current with Salesforce platform updates and best practices across CPQ, Service Cloud, and Billing. Recommend enhancements to existing systems. What You'll Bring: Experience: 5+ years as a Salesforce Developer, with specific, hands-on experience in CPQ, Service Cloud, and Billing. Salesforce Core: Proficiency in Apex, Visualforce, Lightning Components, and Salesforce development tools. Integration Savvy: Extensive experience integrating Salesforce with external systems using REST/SOAP APIs. Platform Knowledge: Familiarity with Salesforce data models and architecture, particularly within CPQ, Service Cloud, and Billing. Certifications: Salesforce Certified CPQ Specialist and/or Salesforce Service Cloud Consultant certifications are highly preferred. Problem-Solving: Strong problem-solving skills with a focus on delivering customer-centric solutions. Communication: Excellent communication skills, enabling effective collaboration with both technical and non-technical stakeholders. Multitasking: Ability to manage multiple tasks and projects simultaneously in a fast-paced environment. Education: Bachelor s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Preferred Qualifications: Experience with Agile development methodologies. Familiarity with Salesforce Communities, Marketing Cloud, or other Salesforce products. Knowledge of JavaScript, HTML, CSS, and other web development technologies. Experience with CI/CD tools and version control systems like Git.

Job Title: Lead Product Engineer Location: Bengaluru, Karnataka, India Department: Product Engineering Experience: 6 10 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and analytics firm helping Fortune 500 and Global 2000 organizations drive better decision-making through custom-built AI solutions. With our proprietary platform NucliOS, we power scalable, reusable, and intelligent products that accelerate digital transformation across industries. At MathCo, we empower our engineers to innovate, take ownership, and work on cutting-edge enterprise-grade products from scratch. If you re passionate about full-stack product development and thrive in a dynamic, high-impact environment, we d love to talk to you. About the Role As a Lead Product Engineer, you will be responsible for the architecture, development, and deployment of full-stack applications that are critical to our enterprise clients success. You ll lead a cross-functional team and work closely with product managers, designers, and data scientists to deliver high-performance solutions that scale and transform. This role combines hands-on coding, system architecture, and team leadership, and is ideal for engineers looking to make a direct impact on product direction and execution. Key Responsibilities 1. Full Stack Development Build and maintain RESTful APIs and microservices using languages like Python or Node.js. Design and develop scalable and maintainable UI components using modern front-end frameworks (e.g., React, Vue, Angular). Architect and manage application databases (SQL & NoSQL). Integrate with authentication/authorization protocols (e.g., OAuth2, OIDC, SAML). Participate in the full product lifecycle from ideation and development to deployment and support. 2. Product Development & Collaboration Translate business requirements into technical solutions in collaboration with product managers and designers. Provide technical leadership and guidance to the development team. Optimize systems for performance, scalability, and reliability. 3. Code Quality & Testing Write clean, efficient, well-documented code following best practices and industry standards. Conduct and participate in code reviews. Develop and maintain automated test frameworks; ensure unit, integration, and end-to-end testing coverage. Oversee CI/CD pipelines and manage cloud-based deployments. Must-Have Technical Skills 6 10 years of experience in full-stack development and system design. Proficiency in backend languages like Python, Node.js (bonus: Rust, Go). Strong front-end experience with HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js. Expertise in REST APIs, microservices, and database design (ER modeling, data flow, API integration). Hands-on with PostgreSQL, MySQL, MongoDB, or similar. Experience deploying applications on cloud platforms (AWS, Azure, GCP). Familiarity with Docker, Kubernetes, and infrastructure tools like Terraform, CloudWatch. Version control and DevOps experience with GitHub, Azure DevOps, and CI/CD pipelines. Non-Technical & Soft Skills Strong knowledge of Agile methodologies (SCRUM). Excellent problem-solving and debugging capabilities. Strong communication and collaboration skills across teams. Ability to manage multiple projects in a fast-paced environment. Work with some of the best minds in data science, engineering, and AI. Drive high-impact product development used by Fortune 500 companies. Be part of a flat, inclusive, and innovation-driven workplace culture. Access to cutting-edge tools, custom-built platforms, and rapid experimentation. Apply now and help build world-class AI-driven solutions with MathCo.

Job Title: Engineering Manager Data Engineering Location: Bengaluru, Karnataka, India Department: Engineering Experience: 6 to 8 years Open Positions: 2 About the Role As an Engineering Manager - Data Engineering, you will lead a team of skilled data engineers who design, build, and maintain scalable data pipelines and infrastructure. You will collaborate with cross-functional teams and client stakeholders to deliver high-quality data systems that meet business goals. Your leadership will be pivotal in mentoring your team, driving project execution, and advancing data engineering capabilities across the organization. Key Responsibilities Lead, mentor, and develop a team of data engineers, fostering a collaborative and inclusive work environment. Conduct performance reviews, provide constructive feedback, and set clear goals for team members. Identify skill gaps and create opportunities for continuous professional growth. Plan, execute, and deliver data engineering projects on schedule and within scope. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure all projects align with broader business objectives and data strategies. Oversee design, development, and maintenance of data pipelines, ETL processes, and data warehouses. Guarantee data quality, integrity, and security in all data engineering initiatives. Identify and drive process improvements to enhance efficiency and effectiveness in data operations. Manage client conversations to understand requirements and translate them into technical deliverables. Build and promote reusable frameworks to drive efficiency in data systems. Lead multiple projects involving streaming, batch, and large-scale data pipelines. Required Technical Skills Strong execution knowledge of data modeling, relational and non-relational databases (SQL and NoSQL). Expertise with ETL and orchestration tools such as IICS, Metatron, Airflow, Azure Data Factory, AWS Glue, or GCP Composer. Experience working with data warehouses like Snowflake, Redshift, Hive, or BigQuery. Proficiency in Apache Spark and optimization of Spark jobs. Strong programming skills in Python (mandatory), with knowledge of Scala, Rust, or Java as a plus. Understanding of Medallion architecture patterns. Advanced SQL skills with query optimization expertise. Experience with software development lifecycle, unit testing, and functional programming concepts. Required Non-Technical Skills Strong problem-solving skills with the ability to assess financial impacts of decisions. Excellent written and verbal communication skills, capable of engaging with mid-management client stakeholders. Ability to balance pragmatic solutions against perfect ones, driving team consensus and business value. Exceptional people management skills, including conflict resolution, empathy, negotiation, and active listening. Proven leadership and mentorship abilities, providing technical guidance to delivery teams. Self-driven, with a strong sense of ownership and accountability. Preferred Educational Qualifications Bachelor s degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics). Lead and mentor a talented team working on cutting-edge data engineering projects. Collaborate closely with clients and cross-functional teams in a dynamic, fast-growing company. Drive innovation with scalable, high-impact data solutions. Grow your leadership and technical skills in a supportive, inclusive environment. Qualification : Bachelors degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics).

Data Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 10 to 15 Years Industry: IT & Data Systems Job Summary: We are seeking an experienced Data Architect with a strong background in designing and implementing enterprise-scale data solutions. The ideal candidate will have expertise in building data lakes, warehouses, and pipelines, with deep knowledge of cloud platforms, data management, and industry best practices. Key Responsibilities: Design, develop, and maintain complex data architectures including data lakes, data warehouses, data marts, and efficient schema design Build and optimize scalable data pipelines for extraction, transformation, and loading (ETL/ELT) processes Apply Agile methodologies in project delivery and collaborate within cross-functional teams Perform data profiling, cleansing, conversion, and ensure high-quality data management for both structured and unstructured data Implement CI/CD and Infrastructure as Code (IaC) practices using tools like GitHub, Jenkins, CloudFormation, and Azure Resource Manager Manage database systems and tools such as PostgreSQL, Oracle, Snowflake, Teradata, MongoDB, Hadoop, and others Utilize data modeling tools like Erwin, Power Designer, and Toad for effective data architecture design Leverage cloud platforms including AWS and Microsoft Azure, with hands-on experience in services like AWS Glue, DMS, Lambda, Azure Data Factory, Synapse, and Data Lake Storage Work with programming and scripting languages including SQL, PL/SQL, Python, Spark, YAML, and JSON Use containerization and automation tools such as Docker, Ansible, and NodeJS for efficient deployment Ensure compliance with cybersecurity principles and frameworks such as NIST Lead data governance initiatives and enforce best practices in data quality and security Preferred Qualifications: ITIL certification and experience with Agile methodology Knowledge of code review and version control best practices, especially in GitHub Familiarity with data science tools and AI/ML frameworks like R, Keras, or TensorFlow Experience with natural language processing (NLP) and machine learning concepts Background in regulated industries, with pharma manufacturing experience highly preferred Exposure to multi-site, global IT projects and manufacturing operations Lead innovative data architecture projects within a dynamic and fast-paced environment Work with cutting-edge cloud technologies and big data ecosystems Collaborate with global teams on impactful enterprise solutions Access to professional growth opportunities in data governance, AI, and cloud technologies

Principal Scientist Business Unit: DALP Location: Bangalore About Adobe Adobe leads the digital experience revolution, empowering creators and global brands with innovative tools to design, deliver, and transform how companies interact with customers across every screen. Recognized for 20 consecutive years on Fortune s 100 Best Companies to Work For, Adobe fosters an inclusive, collaborative, and growth-driven culture where new ideas thrive. Role Summary As Principal Scientist for Adobe Learning Manager (ALM), you will spearhead the architecture and delivery of a next-generation, AI-powered eLearning platform supporting tens of millions of learners globally with 40% YoY growth. Your mission is to design scalable, resilient, and ACID-compliant systems that handle unpredictable workloads while enabling hyper-personalized learning experiences through generative AI. Key Responsibilities Lead the technical vision, design, and roadmap for ALM s scalable SaaS platform. Deliver high-performance web services tailored to evolving business needs with a strong focus on scalability, security, and stability. Develop and refine engineering and business processes to enhance team productivity and product quality. Architect solutions that elegantly split complex workflows between data lakes and business logic layers. Mentor and guide junior engineers, fostering innovation and technical excellence. Stay ahead of industry trends and integrate cutting-edge technologies to maintain Adobe s competitive edge. Lead customer-centric initiatives and collaborate closely with cross-functional teams to deliver impactful solutions. What You Need to Succeed Bachelor s degree in Computer Science or Software Engineering. 15+ years of experience building and maintaining highly available, scalable SaaS services, with at least 4 years as a Lead or Chief Architect. Expert proficiency in Java, Spring framework, Tomcat, AWS Cloud, and relational databases like MySQL. Strong problem-solving skills coupled with excellent verbal and written communication abilities. Passion for solving complex customer challenges and pioneering new technological and UX frontiers. Ability to thrive amid ambiguity and shifting priorities while leading technical and non-technical stakeholders. Join a global leader driving innovation in digital experiences and eLearning. At Adobe, you ll influence the future of learning technology, work alongside passionate experts, and be part of a culture that values creativity, diversity, and continuous growth. Qualification : Bachelors degree in Computer Science or Software Engineering.

Senior Product Manager Talent Management Location: Bangalore, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re revolutionizing how individuals connect with the right career opportunities. Using deep-learning AI, our Talent Intelligence Platform helps companies hire, retain, and grow a diverse workforce by focusing on skills and potential not just r sum s or networks. Backed by over $410M in funding and a $2B+ valuation, we are solving one of society s most pressing challenges employment. Join us on our mission to enable the right career for everyone in the world. The Opportunity We are looking for a Senior Product Manager to own and shape the vision, strategy, and roadmap for our Talent Management solutions. You will collaborate with internal teams and customers to build AI-powered products that empower companies to develop and retain their workforce more effectively. What You ll Do Own Product Strategy & Roadmap: Define and execute the product roadmap for Talent Management applications on the Eightfold platform. Drive Cross-Functional Alignment: Collaborate with engineering, design, sales, marketing, and customer success teams to ensure seamless product delivery. Engage with Customers & Stakeholders: Gather insights from enterprise clients, developers, and internal stakeholders to guide product decisions and prioritize features. Analyze Market & Competition: Monitor trends in talent management, workforce development, and HR tech to ensure product differentiation and innovation. Leverage AI: Integrate Eightfold s core AI capabilities to deliver intelligent, personalized talent solutions. Champion Product Excellence: Use data to measure impact, refine product direction, and ensure high-quality delivery and adoption. 5+ years of experience in Product Management, ideally in enterprise SaaS, HR tech, or workforce solutions. A strong technical foundation and ability to work closely with engineering teams on architecture, APIs, and data models. Experience launching and scaling complex B2B products. Proven success in developing and executing product strategies in fast-paced environments. Excellent communication and stakeholder management skills. Passion for Eightfold s mission of transforming the future of work through AI. Preferred Qualifications Background in HR Tech, Talent Management, or Enterprise Software. Familiarity with platforms serving large enterprise clients. Data-driven mindset with experience using analytics to guide product decisions. Why You ll Love Working Here Purpose-Driven Mission: Help build a world where everyone finds the right career opportunity. Equity Ownership: Be a true stakeholder in Eightfold s success. Comprehensive Benefits: Competitive salary, stock options, medical, dental, and vision coverage for you and your family. Hybrid Flexibility: Work from our Bangalore office 2 3 days per week while enjoying flexibility for remote days. Growth Culture: A collaborative, learning-oriented environment with top-tier leadership and global impact. Equal Opportunity Employer Eightfold.ai is proud to be an equal opportunity employer and is committed to fostering a diverse and inclusive workplace. We welcome candidates from all backgrounds and experiences. Apply Now If you re ready to help shape the future of talent and employment through cutting-edge AI, we d love to hear from you. Qualification : Background in HR Tech, Talent Management, or Enterprise Software.

Lead Software Engineer - Backend Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is redefining service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds through the analysis of structured and unstructured data. We work across industries, including high-tech devices, manufacturing, and medical devices, enabling service leaders to excel in critical metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you ll be part of an innovative and dynamic team that is shaping the future of service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. This is your chance to make an impact in a fast-growing startup and work with cutting-edge technology. About the Team As a Lead Software Engineer - Backend, you will play a crucial role in architecting, developing, and optimizing backend systems for our groundbreaking products. You will lead a talented team, collaborating across functions to deliver scalable and high-performance systems. As a leader, you ll also mentor and guide junior engineers to help them grow in their careers. What You ll Do: Backend Systems Design: Lead the design and implementation of scalable, reliable, and high-performance backend systems. Distributed Systems: Develop and optimize distributed systems to handle large-scale traffic and data. System Architecture: Lead the architecture and design of critical components, ensuring robust and efficient solutions. Code Development: Write clean, maintainable, and efficient code that powers our AI-driven platform. Cross-Functional Collaboration: Work closely with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions. Troubleshooting & Debugging: Solve complex production issues and implement reliable, performance-optimized solutions. Mentorship: Provide guidance and mentorship to junior and mid-level engineers, fostering a collaborative environment. Continuous Learning: Stay updated on the latest trends and advancements in backend development, AI, and distributed systems. What We re Looking For: Experience: Minimum 10 years of professional experience in backend development, with at least 4 years of experience in AI, NLP, or ML. Programming Skills: Expertise in one of the following programming languages: Java, Python, or Golang. Distributed Systems: Proven experience in building and maintaining distributed systems at scale. Cloud Platforms: Familiarity with at least one major cloud platform (Azure, AWS, or GCP). System Design: Strong understanding of system design, architecture patterns, and data structures. Database Knowledge: Experience with relational and NoSQL databases. API Development: Proficiency in developing RESTful APIs and microservices. Security & Performance: Solid understanding of security best practices and performance optimization in backend systems. Problem-Solving Skills: Strong analytical skills with a proven track record of solving complex engineering challenges. Communication: Excellent communication skills with the ability to collaborate across teams and interact with non-technical stakeholders. Preferred Skills: Containerization: Experience with Kubernetes, Docker, or other containerization tools for scalable deployment. Messaging Systems: Familiarity with Kafka, RabbitMQ, or similar messaging systems for real-time data processing. CI/CD: Knowledge of CI/CD pipelines and automation tools to ensure efficient development and deployment. Data Pipelines: Familiarity with data pipelining frameworks such as PySpark, Flink, or similar for real-time processing. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in every aspect of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with hybrid work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re excited about building innovative backend solutions and want to work with cutting-edge technologies in a forward-thinking team, we d love to hear from you!

Engineering Manager Data Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, we power millions of orders daily with zero downtime thanks to our cutting-edge data and backend systems. Our engineering culture is built on speed, ownership, and a growth mindset. We embrace failures as learning opportunities and foster a 'Founder s Mindset' across all engineering teams. We're passionate technologists, team players, and storytellers just as comfortable building robust data platforms as we are bonding over books, games, or chai. If you're ready to lead a team building high-impact, real-time data systems that touch millions of users, come join us. About the Role We are seeking an experienced Engineering Manager Data to lead our data engineering initiatives. You ll be responsible for building scalable data platforms, managing distributed systems, and ensuring data accuracy, accessibility, and real-time analytics capabilities. This role combines technical depth, strategic thinking, and team leadership to build next-gen data systems powering Meesho s mission. What You Will Do Design and allocate technical tasks based on Meesho s data engineering standards and architecture. Lead and mentor a team of data engineers; conduct regular performance reviews and provide growth feedback. Oversee development of scalable, distributed data systems across streaming and batch pipelines. Collaborate with Product, Design, and Sales teams to create innovative data-driven products and features. Monitor project progress, drive sprint planning, and report on key metrics using OKRs. Promote engineering best practices, data quality standards, and cloud-native development. What You Will Need Bachelor s or Master s in Computer Science or a related field. 8+ years of overall experience, with 4+ years managing software/data engineering teams. Hands-on expertise in Java, Python, or Go and multithreading. Experience with distributed data systems, including Apache Spark, Kafka, and streaming architectures. Deep understanding of relational and NoSQL databases. Proficient in cloud platforms (preferably AWS) and containerized deployments. Experience in data modeling, pipeline architecture, and data quality frameworks. Familiarity with BI tools like Tableau, Metabase, or Superset. Good to have: Knowledge of Trino, Flink, Presto, Druid, Pinot, and real-time analytics platforms. Strong project and stakeholder management; ability to lead cross-functional teams. About Us Meesho is India s fastest-growing e-commerce platform on a mission to democratize internet commerce for every Indian. With 1.75M+ sellers and millions of active customers, we offer zero commission, the lowest shipping costs, and unparalleled reach across every serviceable pincode in India. We're building Meesho to be Meri Shop for the next billion users empowering small businesses and first-time entrepreneurs to sell and thrive online. Our Culture & Total Rewards Our culture is rooted in impact, innovation, and inclusivity. Guided by 11 core principles or "Mantras", we empower our teams to think big, move fast, and grow constantly. Daily rituals like Reflections and Listen or Die ensure everyone has a voice and a growth path. What We Offer: Competitive Compensation including salary, performance bonuses, and equity. Wellness & Insurance via our MeeCare program, with extensive coverage for employees and families, plus mental health and wellness initiatives. Work-Life Balance with flexible work hours, generous leave policies, and parental support. Learning & Development with courses, mentorship, and career mobility through our Internal Mobility Program. Perks & Benefits including salary advances, relocation support, recreational discounts, and employee gifts. Join us to lead the data transformation at Meesho and help shape the future of commerce for India s next billion users. Apply now to make your mark! Qualification : Bachelors or Masters in Computer Science or a related field.

Data Engineer, Product Analytics Location: Bangalore, India Full Time Company: Meta Meta is looking for an experienced Data Engineer to join our Product Analytics team. In this role, you will work on some of the most extensive data sets in the world, crafting experiences for billions of people and millions of businesses. Your technical expertise and analytical mindset will help shape data solutions across Meta to drive user experience optimization, growth, and strategy. You'll work alongside software engineers, data scientists, and product managers to tackle the most interesting data challenges at a scale few companies can match. Key Responsibilities: Conceptualize and own the data architecture for multiple large-scale projects, balancing design and operational cost-benefit tradeoffs. Design and contribute to frameworks that improve logging data efficacy, working with data infrastructure teams to resolve issues. Collaborate with engineers, product managers, and data scientists to understand data needs and represent insights meaningfully. Define and manage Service Level Agreements (SLAs) for all data sets in allocated areas of ownership. Implement and maintain security models based on privacy requirements and ensure safeguards are followed to ensure data quality. Design, build, and launch sophisticated data models and visualizations that support multiple use cases across various products. Address complex data integration challenges using optimal ETL patterns, frameworks, and techniques from structured and unstructured data sources. Optimize existing processes, pipelines, dashboards, and systems to enhance the development of data artifacts. Influence product and cross-functional teams to identify data opportunities that will drive impact. Mentor junior team members by providing constructive feedback and receiving feedback to grow as a team. Minimum Qualifications: Bachelor s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. 4+ years of experience in roles focused on data engineering, data analysis, or similar positions, working with SQL, ETL, data modeling, and programming languages (e.g., Python, C++, Scala). Experience with SQL, ETL processes, and data modeling, along with at least one programming language (e.g., Python, C++, C#, Scala). Preferred Qualifications: Master's or Ph.D. degree in a STEM field (Science, Technology, Engineering, Mathematics). About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we have revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, empower billions worldwide. Now, Meta is moving beyond 2D screens towards immersive experiences like augmented and virtual reality, building the next evolution in social technology. When you join Meta, you help shape the future of digital connection, taking us beyond screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : Bachelors degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.

Engineering Manager Location: Bangalore, Karnataka Full Time Experience: 8 - 12 Years About the Role Swiggy is looking for a passionate and hands-on Engineering Manager to join our high-performing tech team in Bangalore. You will play a pivotal role in driving the technology vision and strategy for the Food, Instamart, and Dineout business lines, building scalable platforms that power promotions, pricing, and ads across millions of daily interactions on the Swiggy app. This role is ideal for an experienced engineering leader who thrives in a fast-paced environment, can architect scalable systems, and enjoys mentoring and growing high-performing engineering teams. Key Responsibilities Lead a cross-functional team of backend and frontend engineers to build scalable and high-quality software solutions. Collaborate closely with Product Managers, Designers, and Business stakeholders to deliver robust, user-centric products. Co-own and drive the technology vision and architectural decisions for the team and product. Create clear career paths for team members and guide their development and growth. Mentor and coach team leads, senior engineers, and architects across the team. Drive the adoption of best software engineering practices including code reviews, testing, CI/CD, and design standards. Ensure timely delivery and consistent execution on business goals while maintaining technical excellence. 8 12 years of software development experience with at least 1 2 years in a people management or technical leadership role. Proven ability to lead engineering teams of 10+ developers in a dynamic, growth-focused environment. Strong hands-on experience with backend technologies like Java, Golang, Python, and related frameworks. Experience with web technologies, distributed systems, microservices architecture, and high-volume data pipelines. Strong foundation in databases: MySQL, NoSQL, Redis, and cloud technologies (e.g., AWS). Track record of building and scaling systems for products with high user engagement and traffic. Strong problem-solving, analytical, and technical decision-making skills. Excellent communication and stakeholder management skills. As part of Swiggy s Food Tech team, you will directly contribute to Swiggy s mission of becoming the King of Convenience. This is a high-impact leadership role that allows you to shape products used by millions, influence technical strategy, and build a world-class engineering team in one of India s leading consumer tech companies. Equal Employment Opportunity Swiggy is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Partner Engineer, Google Cloud Google - Bengaluru, Karnataka, India Join Google in Bengaluru, Karnataka, India and become a key enabler of the Google Cloud partner ecosystem! We're looking for a seasoned Partner Engineer to work closely with our partner development managers, fostering growth and providing crucial technical support to our partners. Your expertise will be vital in understanding our partners' technical capabilities and recommending the ideal partners and solutions to our valued customers. In this role, you will guide partners in leveraging Google Cloud services to accelerate their time-to-market, differentiate themselves from competitors, and unlock new avenues for business growth. You will be instrumental in ensuring our partners' success during the critical migration and deployment phases, equipping them with full access to Google Cloud's essential artifacts, tools, templates, and best practices. You will also play a key role in educating prospective partners on Google Cloud's features, assisting them in building innovative solutions, and collaborating with our product marketing and engineering teams to drive continuous improvements to our Google Cloud offerings. Google Cloud is committed to empowering organizations worldwide to digitally transform their businesses. We deliver enterprise-grade solutions powered by Google s cutting-edge technology and provide developers with sustainable building tools. As a trusted partner for customers across more than 200 countries and territories, we enable growth and solve their most complex business challenges. Responsibilities: Empower System Integrator (SI) partners and Independent Software Vendors (ISV) technical teams by enhancing their skills, capabilities, and capacity through effective prototyping and compelling product integration demonstrations. Guide customers through thorough assessments of their existing legacy application environments. Collaborate closely with partner managers to strategically identify and recruit high-potential partners within the market and diligently monitor their delivery capabilities. Drive the successful onboarding of ISV partners to the Google Cloud Marketplace and empower SI partners to achieve successful pilot projects, impactful proof-of-concept deployments, and seamless transitions to production workloads. Develop comprehensive partner technical development plans aligned with annual planning cycles and actively promote technical wins for SI partners, ensuring strong alignment with customer opportunities. Partner with ISV/SI partners to create valuable solution documentation, engaging joint technical articles, informative webinars, and other collaborative content. Build solution-focused technical assets designed to benefit both internal and external partners. Provide expert recommendations on integration strategies, robust enterprise architectures, scalable platforms, and essential application infrastructure required for the successful implementation of comprehensive solutions on Google Cloud. Minimum Qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in cloud architecture, working with a system integrator as an architect or in a delivery role, providing solutions directly to end customers. Proven experience with data migration strategies and the successful movement of production systems in on-premise/data center environments or in various migration to cloud scenarios. Hands-on experience in designing and building architectures and with the seamless migration of workloads to cloud environments. Solid experience with diverse database technologies (e.g., Oracle, SQL Server, PostgreSQL, MySQL, etc.). Preferred Qualifications: Demonstrated experience in building strong and productive business partnerships. Significant experience in cloud migrations and application modernization, effectively translating customer business needs into innovative cloud-centric solutions. Practical experience working with data and Artificial Intelligence/Machine Learning (AI/ML) workloads. In-depth knowledge of application data management architectures, including storage subsystems, high availability strategies, backup and recovery procedures, disaster recovery planning, performance optimization, scalability considerations, robust security measures, effective monitoring practices, and comprehensive database management. Exceptional ability to conduct engaging and informative technical discussions and engagements. Excellent communication skills, both written and verbal. Qualification : Bachelor's degree or equivalent practical experience.

Location: Bengaluru Designation: Assistant Manager Entity: Deloitte Unleash Your Potential with Deloitte India's impact on the global economy has skyrocketed, and at Deloitte, we offer you an opportunity to unlock your potential by working alongside leaders and organizations that are shaping the future, both in the region and beyond. At Deloitte, we celebrate the whole you. Join us, and you ll be part of a team driven to make an impact that matters by collaborating, innovating, and growing together. About the Team The Technology & Transformation team is about more than just numbers. It s about building upon past achievements, addressing current challenges, and laying the foundation for future success. At Deloitte, we help organizations navigate change, ensuring they stay ahead of the curve. Learn more about the Technology & Transformation Practice. Your Role and Responsibilities As an Assistant Manager (AM) in our Cyber Team, you'll play a key role in building and maintaining positive relationships with both internal teams and clients. Your main goal will be to exceed client expectations and ensure their security and privacy needs are met. Key responsibilities include: Security and Privacy Expertise: Apply knowledge in security and privacy domains such as governance, risk management, compliance, access control, security architecture, incident response, disaster recovery, business continuity, data protection, etc. Industry Standards: Leverage frameworks and standards such as PCI-DSS, ISO/IEC 27001, ISO/IEC 17799, COBIT, ITIL, and others. Risk Management: Demonstrate a deep understanding of security controls and risk management processes. Certifications: Preferably hold certifications like CEH, CISSP, CISA, ISO 27001, ISO 22301, or equivalent. Information Security Management: Assist in ISO 27001-based Information Security Management System (ISMS) implementation and maintenance. Assessing and Improving Security Posture: Evaluate client information security posture, identify risks, and develop solutions to close gaps. Information Security Controls: Review and implement security controls across various areas such as change management, incident management, access management, antivirus management, physical security, etc. Data Privacy: Advise clients on data privacy and information security topics like data leakage prevention and identity management. Client Guidance: Serve as a subject matter expert in security and privacy, supporting clients in developing frameworks and implementing solutions. Audits & Reviews: Conduct information systems audits covering IT infrastructure and advise on best practices for data protection. Desired Qualifications Educational Background: Degree in IT, Computer Science, or related fields. Certifications: PCI-DSS, ISO 27001, ISO 31000, ISO 22301, CISA, ITIL, or equivalent certifications preferred. Other Certifications: CISSP, CEH, GSEC, GCIH, LPT, CCSK, etc. are a plus. Location and Work Style Base Location: Bengaluru Travel: This role involves occasional or frequent travel to client locations. Hybrid Work: Deloitte s default work style is hybrid, tailored to the needs of each domain. Key Expectations for the AM Role As an Assistant Manager at Deloitte, you ll be expected to embrace and live our purpose. You should challenge yourself to identify key issues that matter to clients, your team, and society. Specifically, we expect our AMs to: Inspire and Lead: Lead with integrity, inclusivity, and motivation. Create Purpose: Help shape a vision and purpose that drives positive change. Be Agile: Deliver high-quality results through collaboration and teamwork. Build Diverse Capabilities: Develop and support future capabilities within the team. Influence & Persuade: Ability to influence stakeholders and drive decisions. Collaborate for Solutions: Work together to create new solutions for clients. Drive Value: Leverage business acumen to deliver client value. Expand Business: Spot and leverage new business opportunities. Analytical Thinking: Use data and analytics to inform decisions and recommend impactful solutions. Communication: Effectively communicate and structure ideas for win-win outcomes. Engagement Management: Manage engagements to ensure timely execution and quality results. Adapt to Change: Respond resiliently to changing environments and needs. Manage Quality & Risk: Ensure high-quality results while mitigating risks. Strategic Problem Solving: Apply strategic thinking to solve complex business challenges. Tech Savvy: Use ethical technology practices to create high-impact solutions. Empathy & Inclusion: Foster a safe, inclusive environment where everyone is valued. Growth at Deloitte Connect for Impact: Work alongside exceptional professionals solving complex global issues and making a positive impact on the community, society, and the planet. Empower to Lead: Regardless of your career level, you ll have opportunities to inspire, support, and grow both professionally and personally. Inclusion for All: We value diversity and inclusivity in everything we do. At Deloitte, we are committed to creating a culture where everyone feels respected, valued, and empowered. Drive Your Career: You have the autonomy to shape your career path. With global mobility, cross-business opportunities, and continuous upskilling, you can chart a fulfilling career journey. A Culture of Wellbeing At Deloitte, we prioritize your 360-degree wellbeing. Our workspaces and initiatives cater to your unique needs, including flexibility, accessibility, safety, and support for caregiving. Join us for a workplace where you can thrive. Your Next Step: Unleash Your Potential at Deloitte! Qualification : Degree in IT, Computer Science, or related fields.

Job Title: Cloud-Based AI Developer - Advanced Analytics Group (AAG) Company: Bain & Company Job Type: Full-Time Employment Type: Permanent What Makes Us a Great Place to Work: We are proud to be consistently recognized as one of the world s best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. Diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, creating an environment where you can thrive both professionally and personally. We are publicly recognized for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With: As a member of Bain s Advanced Analytics Group (AAG), you will work alongside generalist consultants to help clients across industries solve their biggest problems using expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics, and data engineering. AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in tech, data science, marketing analytics, and academia. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. What You ll Do: As a member of the AAG, you will be responsible for designing, developing, and maintaining cloud-based AI applications that provide high-quality, scalable, and secure solutions for our clients. Your work will encompass the full stack, from API design to deployment, delivering analytics solutions across various sectors. Cloud-Based AI Development: Design, develop, and maintain cloud-based AI applications, ensuring scalability and security, leveraging full-stack technology solutions. Cross-Functional Collaboration: Work with product managers, data scientists, and other engineers to define and implement analytics features that meet business requirements. Cloud and Containerization: Use Kubernetes and containerization technologies to deploy, manage, and scale applications in cloud environments for optimal performance. API & Microservices Development: Develop and maintain APIs and microservices to expose analytics functionality, adhering to industry best practices for design and documentation. Security and Compliance: Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations. Troubleshooting and Performance Monitoring: Continuously monitor and troubleshoot application performance, resolving issues impacting system reliability and user experience. Code Reviews and Best Practices: Participate in code reviews and contribute to the establishment of coding standards to ensure high-quality, maintainable code. Emerging Trends and Technologies: Stay current with emerging trends in cloud computing, data analytics, and software engineering to enhance the platform s capabilities. Collaboration with DevOps: Work with DevOps and infrastructure teams to automate deployment and release processes, optimizing the development workflow. Client Collaboration: Collaborate closely with business consulting teams to assess opportunities and develop analytics solutions across sectors. Education and Influence: Influence and educate clients on analytics application engineering capabilities, supporting their teams directly. Travel: Expect occasional travel (30%) for project work. About You: Required Qualifications: Education: Master s degree in Computer Science, Engineering, or a related technical field. Experience: 3+ years of experience at Senior or Staff level, or equivalent. Expertise in client-side technologies such as React, Angular, Vue.js, HTML, and CSS. Experience with server-side technologies such as Django, Flask, and Fast API. Proficiency with cloud platforms (AWS, Azure, GCP) and Terraform automation (good to have). 3+ years of expertise in Python. Experience using Git for version control and collaboration. Familiarity with DevOps, CI/CD, and tools like GitHub Actions. Demonstrated interest in LLMs, prompt engineering, and Langchain. Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, or similar. Experience in the implementation of large-scale structured or unstructured databases, as well as containerization technologies like Docker and Kubernetes. Skills and Knowledge: Strong interpersonal and communication skills to explain complex engineering topics to colleagues and clients from various disciplines. Curiosity, proactivity, and critical thinking. Solid computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and software architecture. Expertise in designing API interfaces and knowledge of data architecture and database schema design. Familiarity with agile development methodologies. Join Bain & Company: Become a part of a forward-thinking team committed to solving complex problems, building innovative solutions, and delivering impactful data analytics and AI solutions. Collaborate with talented professionals and gain valuable experience that shapes the future of data analytics and AI. Qualification : Masters degree in Computer Science, Engineering, or a related technical field.

Job Title: Customer Success Services - Oracle SaaS/HCM/Cloud Analyst - Lead Career Level: IC3 Position Overview: As a member of Oracle s Support organization, you will be responsible for providing post-sales support and solutions to Oracle customers. Your focus will be on resolving complex, non-technical customer inquiries, as well as providing technical troubleshooting for Oracle's Electronic Support Services. Acting as a primary point of contact for customers, you will manage customer relationships and offer assistance to internal Oracle teams regarding customer situations and escalated issues. Key Responsibilities: Customer Support: Act as the primary contact for Oracle customers, assisting them with complex technical and functional queries related to Oracle Fusion HCM products, including Core HR, Absence, Benefits, Extracts, HDL Loader, Workflow, BI Publisher, and Oracle Integration Cloud. Incident Management: Track, diagnose, replicate, and resolve critical and complex cases, ensuring total resolution of service incidents. Customer Success: Advise customers on the complex use of Oracle products, providing tailored solutions and resolving critical issues. Situation Management: Take ownership of highly sensitive and critical customer issues, working directly with customers and consulting with management to drive resolution. Knowledge Sharing: Share your knowledge with teammates by delivering formal training sessions, creating and reviewing Knowledge Articles, and mentoring others to promote technical and professional development. Collaboration: Work closely with internal teams to address escalated customer issues and contribute to improving internal processes and solutions. Qualifications: Must-Have Skills: 6-10 years of experience in the implementation, support, or upgrade of Oracle SaaS HCM products, with at least one implementation experience in Core HR, Absence, Benefits, Extracts, HDL Loader, Workflow, BI Publisher, and Oracle Integration Cloud. Hands-on configuration experience with at least three or more tools: HCM Extracts HCM Data Loader (HDL) Payroll Batch Loader (PBL) Workflow BI Publisher Fast Formula Personalization PL/SQL Strong knowledge of Fusion Cloud architecture, setup manager, and activities. Experience with FBDI and OTBI report development. Knowledge of integrating external data sources into Oracle Fusion Applications. Familiarity with localizations and security setup is a plus. Nice-to-Have Skills: Experience with Oracle Core HR, Absence, Benefits, and Payroll in Release 12.1.3.x / 12.2.x. Experience working in L1/L2/L3 support environments. Ability to analyze and decipher software logs and trace files to troubleshoot issues. Hands-on experience with XML, Java, J2EE, Oracle ADF, SOA, and Web Services. Strong functional/product expertise, with the ability to relate Oracle s functionality to business processes. Additional Skills: Effective analytical and organizational skills. Strong verbal and written communication skills in English; multilingual skills are a plus. A proactive learning orientation, staying up-to-date with emerging business models, processes, and Oracle product solutions. Experience in Managed Services, including client relationship management, offshore delivery management, project/program management, and successful delivery of KPIs. Ability to work in rotational shifts, manage a large team, and ensure SLAs are met for both EBS and Cloud/SaaS customers. Education & Experience: B.S. (Computer Science), BE, or equivalent preferred. Other qualifications with adequate experience may also be considered. Qualification : B.S. (Computer Science), BE, or equivalent preferred.

About Adobe At Adobe, we're changing the world through digital experiences. From emerging artists to global brands, we provide the tools needed to design and deliver exceptional digital experiences. We're passionate about empowering people to create beautiful, powerful images, videos, and apps that transform how companies engage with customers across every screen. We're on a mission to hire the very best talent, fostering an inclusive culture where everyone is respected and has access to equal opportunities. We believe great ideas can come from anywhere, and the next big idea could be yours! The Opportunity The Customer Success Solution Architect plays a key role in helping brands maximize the value of their customer experience management (CXM) transformation by leveraging Adobe's solutions to deliver personalized, impactful experiences across all channels. In this role, you will work with customers who are struggling to fully utilize or realize the value of their Adobe Digital Experience (DX) solutions. Your expertise will guide them in operationalizing teams, solving complex challenges, and advising on strategies and technology to support their CXM transformation. What You ll Do Strategize and Architect Solutions: Collaborate with customers to understand their business requirements and translate them into a North Star architecture, recommending Adobe solutions to enhance their digital experiences. Solve Customer Challenges: Dive deep into architecture and advise on strategies that help customers unlock the full potential of their Adobe investment, addressing issues in customer experience management. Customer & Internal Collaboration: Maintain strong governance, communication, and organizational change, both with the customer and internally, working closely with the Ultimate Success Organization, Sales teams, and other customer-facing teams. Cross-Team Collaboration: Provide regular feedback and work with Product Management, Engineering, Product Marketing, and Service Marketing to ensure customer needs are addressed. Innovation: Identify opportunities across multiple customers and create new solutions that can be implemented at scale, helping to build out standard processes for future success. What You Need To Succeed Experience: 10+ years of relevant experience in enterprise architecture advisory, particularly in Adobe Digital Experience solutions. Expertise in Adobe DX Solutions: Deep knowledge of Adobe solutions such as AEM, Campaign, AEP, and related apps like CDP, CJA, or AJO, with a focus on integration and implementation to realize value. Problem-Solving: A creative and innovative mindset to solve complex technical problems and make impactful decisions that drive customer success. Communication Skills: Ability to explain complex ideas clearly, both verbally and in writing, to customers and internal teams. Customer-Centric Focus: A track record of building strong relationships with customers, leading change, and driving impactful technical solutions. Integration Knowledge: Familiarity with enterprise application integration (EAI) concepts, APIs, microservices, middleware, and AI/ML concepts to drive effective communication between customer applications. Ad Tech Experience: Experience with ad technology platforms such as DMPs, DSPs, Ad servers, and Cross-Device Tracking systems. Data Architecture Knowledge: Familiarity with CRM systems, email platforms, data lakes, data warehousing, and big data architectures to support optimal data management. Emotional Intelligence: Strong interpersonal skills and the ability to lead with emotional intelligence, building trust and rapport with customers and internal stakeholders. Adobe is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We do not discriminate based on gender, race, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.

Company Overview At Intuit, we re on a mission to power prosperity for people and communities around the globe. With products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we serve over 100 million customers worldwide. Our goal is simple ensure everyone has the opportunity to thrive financially. We re constantly innovating, finding new ways to help people manage their finances better, and we need a passionate, skilled Full Stack Engineer to help us revolutionize the future of finance with AI-driven experiences. Job Title: Full Stack Engineer - AI Development At Intuit, our AI team is pushing the boundaries of what's possible in financial technology. We re building cutting-edge solutions that deliver personalized, proactive insights to millions of users. As a Full Stack Engineer on our team, you ll play a pivotal role in creating the infrastructure and applications that bring these AI innovations to life. This is a unique opportunity to work with the latest AI technologies while building impactful web applications for TurboTax, QuickBooks, and beyond. Responsibilities: Develop High-Performance Applications Design, develop, and deploy consumer-facing web applications that integrate seamlessly with our AI models and services. Ensure that applications are scalable, modular, and secure, delivering high-quality experiences to millions of users. Collaborate with Cross-Functional Teams Work closely with data scientists, machine learning engineers, and product managers to transform complex algorithms and data into intuitive, user-friendly interfaces. Contribute to the development of AI platforms and tools for model training, deployment, and monitoring. Backend System Design Build and maintain robust backend systems to support the AI-powered features across Intuit's portfolio. Take ownership of the end-to-end product lifecycle, including resolving defects/bugs and working on post-release patches. Champion Best Practices Promote best practices in software development, including thorough code reviews, unit testing, and documentation. Stay up-to-date with the latest trends in AI, web development, and cloud technologies. UI/UX & Prototypes Design and develop web, software, and mobile applications with a focus on accessibility, internationalization, and user experience. Contribute to the architecture and design of projects to ensure scalability and performance. Qualifications: Educational Background BS/MS in Computer Science or equivalent field. Technical Expertise 5+ years of experience in full-stack software development with a strong focus on JavaScript, HTML, CSS, and backend frameworks such as Node.js, Python/Django, or Java/Spring. Proficiency with modern web technologies and architectures such as React, Angular, Vue.js, and RESTful APIs. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL and NoSQL) and data pipelines. Programming & Frameworks Strong experience with Kotlin/Java and web technologies. 4+ years of experience with APIs (creating and consuming) using REST or GraphQL. Experience with UI frameworks like React, Angular, and JavaScript in a single-page architecture. Experience with unit testing and Test-Driven Development (TDD). Data Management & Systems Familiarity with Postgres, Data Lakes, Kafka, and schema modeling will be a plus. Solid foundation in writing scalable web applications that follow best practices in accessibility, internationalization, and instrumentation. Collaboration & Communication Strong communication skills with the ability to work effectively in a cross-functional team. Ability to contribute to both individual work and team-based projects in an Agile environment. Bonus Points: AI/ML Expertise Experience with machine learning frameworks like TensorFlow or PyTorch and AI/ML model deployment. Contributions to open-source projects related to AI or web development. Experience with data visualization tools and techniques to present AI insights effectively. Join Intuit and become part of a forward-thinking team that is shaping the future of financial technology. You ll have the opportunity to work on innovative AI-driven projects that have the potential to impact millions of people s financial lives. Here, your contributions matter, and you ll be empowered to build scalable, secure, and high-performance systems that drive true change. Qualification : BS/MS in computer science or equivalent

Job Title: Senior Solutions Engineer (Analytics, AI, Big Data, Public Cloud) Job Summary As a Senior Solutions Engineer (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team and work with the product team as an advocate of your customers in the field. You will help our customers achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field while finding solutions to our customers' biggest challenges in big data, analytics, data engineering, and data science problems. You will report to the Solutions Architect (SA) Manager. The Impact You Will Have You will be a Big Data Analytics expert on aspects of architecture and design. Engage with the technical community by leading presentations, workshops, seminars, and meet-ups. Lead your clients through evaluating and adopting Databricks, including hands-on Spark programming and integration with the wider cloud ecosystem. Support your customers by authoring reference architectures, how-tos, and demo applications. Integrate Databricks with 3rd-party applications to support customer architectures. Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value. What We Look For Consulting, pre-sales, or post-sales experience working with external clients across a variety of industry markets. Core strength in either data engineering or data science is advantageous. 5+ years of experience demonstrating technical concepts, including presenting and white-boarding. 4+ years of experience designing architectures within a public cloud (AWS, Azure, or GCP). 4+ years of experience with Big Data technologies, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others. Solid coding experience in Python, R, Java, Spark, or Scala. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook.