About the Role

We are looking for a Data Modeler to join a global data modeling team responsible for transforming business requirements into conceptual and logical data models. This role requires understanding of healthcare data domains (Claims, Membership, Enrollment, Provider, Billing, Pharmacy, Interoperability - FHIR, HL7, ADT, CCDA, etc.) and experience in enterprise data modeling best practices.

The Data Modeler will work closely with the Director of Data Modeling and Senior Data Modelers to adhere to data modeling standards, metadata governance, and follow data architecture strategies that align with business and technical needs. They will also collaborate with business analysts, product analysts, client implementation teams, and data governance teams to ensure models support operational and analytical use cases, high performance, and data integrity.

This is an exciting opportunity for a data modeler with experience in Databricks, Snowflake, schema evolution, and up-to-date data engineering practices to shape the future of healthcare data platforms.

Your day to day





Identify and define requirements for canonical data models as well as consumption use cases required by enterprise healthcare customers.

Your activities will include:
- Perform data profiling analysis.
- Use SQL, data modeling and data integrity principles.
- Build conceptual and logical data models aligned with enterprise architecture, business requirements and industry standards.
- Follow data modeling best practices, including schema evolution, lossless data modeling, metadata management, and data versioning.
- Use enterprise data modeling tools (Erwin, ER/Studio, DBT, or similar).
- Ensure models support analytical (data science, actuarial, reporting) and operational (Claims, Care Management) use cases.
- Maintain metadata, business glossary, entity relationship diagrams and data dictionaries to support data lineage and governance.
- Partner with Client Management, Product, and Business Analy

📌 Data Modeler (Pune)
🏢 Abacus Insights
📍 Pune