Senior Principal Engineer– Data
GSK (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 50–85 LPA
Posted 1h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and lead design and delivery of scalable Azure-based data lakehouse platforms and data pipelines to support healthcare and commercial data use cases.
- Design and implement metadata-driven enterprise ingestion, data quality, observability frameworks and autonomous AI agent integrations in data engineering workflows.
- Partner with clinical, commercial, and research teams to deliver secure, compliant, and production-ready data solutions, including bidirectional Salesforce PMP integrations and AI-powered data capabilities.
Minimum Requirements
- 10+ years of data engineering/platform experience with significant technical leadership at Senior/Principal Engineer level.
- Deep hands-on expertise with Azure, Databricks, Spark/PySpark, Delta Lake, Apache Iceberg, ADF, ADLS, Unity Catalog, and Azure integration services.
- Strong hands-on knowledge of Salesforce ecosystem including Apex, SOQL, REST/Bulk APIs, and experience building secure Salesforce PMP-to-Data Lake bidirectional integrations.
- Experience building GenAI and Agentic AI solutions using MCP, LangGraph, LangChain, RAG, multi-agent orchestration, and LLM technologies.
Ideal Candidate Profile
- Experienced senior technical leader comfortable driving complex enterprise data platforms combining Azure data engineering with AI/ML and healthcare domain knowledge.
- Practitioner of advanced AI/ML agent architectures, capable of designing multi-agent orchestration, AI integration, and responsible AI controls at scale.
- Expert in healthcare data domains, especially patient management services and governed data-product practices, able to lead cross-functional engineering and stakeholder collaboration for production-grade solutions.