Staff Data/ml Engineer Job in Druva

Job Title: Staff Data / Machine Learning Engineer

Company: Druva

Location: Pune, Maharashtra, India

About Druva:

Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats.

The Role & Team:

Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools.

What You ll Do:

• Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights.
• Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes.
• Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows.
• Develop and optimize data models for efficient analytics and reporting across large datasets.
• Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications.
• Drive architectural improvements in data governance, observability, and platform scalability.
• Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks.
• Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration.
• Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact.

What We Are Looking For:

• Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
• 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas.
• Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure).
• Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents.
• Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.).
• Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases.
• Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management.
• Deep knowledge of data modeling, architecture, and governance best practices.
• Proven problem-solver who thrives in ambiguity and designs robust data solutions.
• Experience working in Agile environments with strong prioritization and collaboration skills.
• Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders.

Bonus Points For:

• Experience with Generative AI, LLMs, and integrating AI into business workflows.
• Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics.
• Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures.
• Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics.

If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team!