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Tier-1 employer and Bangalore location increase applicant density despite seniority and specialization.
Life-sciences compliance, governance, and domain experience requirements make background fit highly sensitive.
Explicit 10+ years plus mandatory Snowflake/dbt/AWS/IAc and compliance skills make filtering strict.
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Lead design and delivery of scalable, secure patient-centric data and AI platforms on cloud (AWS, Snowflake).
Own development of cloud-native ETL/ELT pipelines, AI-driven data quality and observability, and governance for compliance (GDPR, HIPAA).
Mentor engineers on modern data engineering and responsible AI usage; collaborate with data science and analytics teams to enable data contracts and reproducible pipelines.
Master's degree in Computer Science, Information Systems, Engineering or related field.
10+ years experience in data engineering, data management, and analytics with proven delivery of large-scale, secure, resilient solutions.
Proficient in SQL, Python, Snowflake (including advanced features), Apache Airflow, dbt, Fivetran, and AI-assisted data engineering tools.
Location: Bangalore (Manyata Tech Park); preference for local candidates who can join immediately.
Experienced technical leader with hands-on skills in cloud-native data engineering and AI acceleration within regulated environments (preferably life sciences).
Familiar with implementing data governance/privacy frameworks aligned with FAIR and TRUSTed principles, and AI-enabled observability and compliance tooling.
Demonstrates ability to mentor engineers on responsible AI usage and to collaborate cross-functionally for end-to-end data platform delivery.