💼 About This Role

You'll lead the assessment and redesign of a legacy data ecosystem into a modern, scalable data lake architecture. You'll define target-state architecture and operating models across ingestion, standardization, and governance. This engagement includes a structured gap analysis and phased migration roadmap.

🎯 What You'll Do

• Assess existing data ingestion pipelines and storage structures.
• Design a scalable layered data architecture for raw and curated datasets.
• Define canonical data models to standardize heterogeneous partner data.
• Develop phased migration roadmap minimizing operational risk.

📋 Requirements

• Advanced expertise in logical and physical data modeling across structured and semi-structured data.
• Deep understanding of dimensional modeling including star and snowflake schemas.
• Experience transforming legacy data platforms into modern data lake or lakehouse ecosystems.
• Proven track record addressing systemic data quality issues at scale.

✨ Nice to Have

• Experience leading enterprise-scale data modernization initiatives.
• Experience delivering phased migration roadmaps in complex, multi-partner environments.
• Experience supporting healthcare payer data domains such as claims or enrollment.