Senior Healthcare Data Modeler
Job in
Minnetonka, Hennepin County, Minnesota, 55345, USA
Listed on 2026-09-08
Listing for:
Techvilla Solutions
Full Time
position Listed on 2026-09-08
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Data Analyst, Database Administrator
Job Description & How to Apply Below
Primary Responsibilities
- Design and implement enterprise data models and data architecture for large, complex healthcare systems.
- Translate business and technical requirements into scalable data models and end-to-end data solutions.
- Develop data strategies, roadmaps, and data management solutions supporting analytics and enterprise reporting.
- Design normalized OLTP, OLAP, MDM, and dimensional models, including Star schemas, SCDs, role-playing dimensions, hierarchies, and data classification.
- Develop and review complex SQL queries, stored procedures, DDL, DML, and DCL using ANSI standards.
- Optimize SQL queries and analyze database performance.
- Define and implement data quality, profiling, governance, security, metadata management, MDM, archival, and migration strategies.
- Ensure compliance with healthcare data security and privacy requirements, including HIPAA, PHI, and PII.
- Collaborate with Data Managers, Data Integration Leads, Data Engineers, and business stakeholders.
- Provide technical leadership, problem-solving, presentations, and recommendations for complex data initiatives.
Skills & Qualifications
- 8+ years of experience in Data Modeling, Data Architecture, or Data Management.
- 5+ years of hands-on experience with Erwin Data Modeler.
- 5+ years of experience working with healthcare data and healthcare information systems.
- Strong experience with Medicaid, Medicare, and Commercial healthcare datasets;
Medicaid experience is highly preferred. - 7+ years of advanced SQL experience, including complex queries, stored procedures, DDL, DML, DCL, and query optimization.
- Strong expertise in OLTP, OLAP, MDM, and dimensional data modeling.
- Experience with Star schemas, Slowly Changing Dimensions (SCD), role-playing dimensions, dimensional hierarchies, and data classification.
- Strong knowledge of Data Governance, Data Quality, Data Profiling, Data Security, Metadata Management, MDM, Data Archival, and Data Migration.
- Strong understanding of HIPAA, PHI, PII, and healthcare data privacy/security requirements.
- Excellent problem-solving, communication, influencing, presentation, and stakeholder management skills.
- Ability to work independently and take ownership of complex data initiatives.
- Experience with Microsoft Azure data services, including Azure Data Lake Storage, Azure Data Factory, Microsoft Purview, and Azure Maps.
- Experience with Snowflake.
- Experience with Power BI or Tableau.
- Experience designing and implementing large-scale healthcare data warehouse and analytics solutions.
Position Requirements
10+ Years
work experience
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