Description

You will design and implement large-scale end-to-end data management and analytics solutions for complex healthcare entities.

Responsibilities

• Develop data modeling strategies and roadmaps for large-scale health systems.
• Implement end-to-end data management, analytics, and migration strategies.
• Ensure data architectures comply with HIPAA, PHI, and PII security standards.
• Execute data profiling and quality assessments to support governance frameworks.
• Optimize complex analytic queries and stored procedures to ANSI standards.

Required Skills

• 10-15 years of data modeling experience within the healthcare domain, specifically Medicaid, Medicare, or Commercial datasets.
• 5+ years of hands-on experience using Erwin data modeling tools.
• Expertise in normalized OLTP, OLAP, MDM, and dimensional modeling techniques.
• Deep knowledge of Star schemas, slowly changing dimensions, and dimensional hierarchies.
• Expert-level SQL skills including DDL, DML, DCL, and complex analytic queries.
• Proven ability in query optimization and code inspection.
• Strong understanding of Data Quality, Data Governance, and Metadata Management.
• Experience with Data Archival, Data Migration, and data classification strategies.
• Comprehensive knowledge of regulatory security requirements for PHI and PII.

Preferred Skills

• Experience implementing large-scale data solutions for multiple major clients.

Key Skills

Education

Any Gradute