Data Architect Job in Camsdata Technologies India Pvt. Ltd.

Data Architect

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Job Summary

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

Why Join Us?

  • 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
Experience Required :

Minimum 10 Years

Vacancy :

2 - 4 Hires

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