FHIR Data Modeler

Job description

We are seeking a highly specialized Senior Data Modeler to lead the architectural design and normalization strategy for our External Data Acquisition stream. This role is pivotal in transforming fragmented clinical data—specifically from CommonWell —into a high-performance, analytic-ready ecosystem. You will bridge the gap between complex interoperability standards ( FHIR and CDA ) and actionable business intelligence, ensuring our "Serve Layer" is both scalable and semantically accurate. Core Responsibilities As the lead architect for data acquisition, you will be responsible for the following key pillars: 1. FHIR Structure Design & Specification 2. Flattened FHIR Dataset Design 3. Data Modeling Framework 4. CDA to FHIR Normalization Strategy - Execute resource-level decomposition of incoming clinical bundles (Patient, Observation, Encounter, etc.) to ensure data integrity. - Translate technical HL7 FHIR specifications into business-aligned interpretations that stakeholders can leverage for clinical decision support. - Architect a robust mapping strategy to transform nested FHIR JSON structures into flattened, analytic-friendly schemas (e.g., Parquet, SQL tables). - Develop reusab...