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Lead - Data Engineering & AI Enablement (Life Sciences)
Position Summary
We are seeking a highly experienced and hands-on Data Engineering Leader with 12+ years of experience designing, building, and modernizing enterprise-scale data platforms. The ideal candidate will possess deep expertise across cloud-native data engineering, AI-enabled data modernization, and large-scale analytics platforms, with a solid preference for Life Sciences and Clinical Research domain experience.
This role requires a blend of technical leadership, architecture design, hands-on development, delivery oversight, and client engagement. The candidate will be responsible for leading global engineering teams while actively contributing to architecture,



solution design, implementation, optimization, and AI-driven automation initiatives.

Key Responsibilities

Lead end-to-end design, architecture, and implementation of modern cloud-native data platforms and analytics ecosystems.
Design and develop scalable data ingestion, transformation, orchestration, and consumption frameworks using AWS, Snowflake, Python, and PySpark.
Modernize legacy ETL and data warehouse solutions through automation, cloud migration, AI adoption, and platform optimization initiatives.
Architect enterprise data solutions supporting structured, semi-structured, and unstructured datasets.
Drive implementation of AI/ML and GenAI-enabled capabilities to improve pipeline efficiency, data quality, observability, and operational effectiveness.
Partner directly with clients to understand business needs, define solution roadmaps, lead workshops, and provide technical advisory serv

📌 EY - GDS Consulting - AI And DATA - Snowflake plus AWS - Manager (Bidhannagar)
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