Data Modeler

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

• 2+ 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. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.