Data Modeler
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 modern 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 Analyst teams to understand client needs, assess data model impact, and ensure data models and related artifacts meet or exceed expectations.
- Work with client management teams to provide support and data model expertise during client implementation.
What you bring to the team
- 5-10 years of experience in data modeling, enterprise data architecture, and cloud-based data engineering.
- Expertise in enterprise data modeling tools (Erwin, ER/Studio, DBSchema, or similar).
- Strong hands-on experience with cloud data platforms (Databricks, Snowflake) and data lakehouse architectures.
- Deep understanding of healthcare data models across Core Payer (Claims, Membership, Enrollment, Provider, Billing, Premium, Pharmacy) and Clinical Interoperability (FHIR, HL7, ADT, CCDA, etc.) domains.
- Experience with schema evolution, lossless data modeling, and data versioning strategies.
- Strong background in SQL, data profiling, and metadata creation and maintenance.
- Ability to learn from senior modelers, enforce modeling best practices, and drive adoption of enterprise data standards.
- Excellent collaboration skills to work with data architects, engineers, and client implementation teams.
What we would like to see, but not required
- Healthcare reporting experience.
- Experience with OBT, data lakehouse, and metadata management frameworks.
- Familiarity with business intelligence (BI) and reporting solutions on modern cloud data warehouses.
- Knowledge of APIs, SDKs, and data distribution frameworks for enabling real-time and batch data access.
- Experience with data governance, security, and regulatory compliance in healthcare data management.
- NoSQL data model experience.
What you'll get in return
- Competitive Leave & Benefits
- Comprehensive health coverage
- Equity for every employee - share in our success
- Growth-focused environment - your development matters here
Work arrangements
- Standard hours: 9 hours/day, 5 days/week
- Location: Pune, Hybrid (3 days a week in office)
- Shift: Your standard working hours will be nine (9) hours per day within the Company's standard working hours. Specific working hours may vary based on business needs.
