Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy advantages, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive perks and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:
Data Architecture Canonical Model Design
Design, build, and maintain canonical data models that serve as the single source of truth across analytics and AI use cases
Define and enforce data contracts between upstream systems and downstream consumers
Handle schema evolution, versioning, and drift management proactively
Ensure alignment between business semantics and physical data models
Data Engineering Pipeline Development




Build scalable and effective data pipelines using Snowflake, SQL, and Python
Process both structured and semi-structured data (JSON, logs, API payloads)
Optimize transformations for performance, cost, and scalability
Implement reusable, modular pipeline components
Advanced Data Modeling for Analytics
Design dimensional and normalized data models for reporting, ML, and AI workloads
Optimize data models for BI tools, self-service analytics, and LLM consumption
Develop metric-layer ready models to ensure consistency across reporting
Data Governance Quality
Implement data validation, monitoring, and quality checks across pipelines
Build frameworks to detect schema drift and data inconsistencies
Ensure adherence to data governance, lineage, and auditability standards
Support compliance requirements (PHI/PII handling, access control, traceability)
AI/ML GenAI Enablement
Structure data to support RAG pipelines, e

📌 Principal Data Engineering Gurugram
🏢 Optum
📍 Gurugram