Clinical Data Integration Lead

Position Overview

ValueMomentum is seeking an experienced Clinical Data Integration Lead to provide technical leadership in healthcare interoperability, clinical data integration, and FHIR-based solutions. The ideal candidate will have strong experience designing and implementing scalable clinical data exchange platforms connecting payers, providers, EHRs, HIEs, laboratories, pharmacies, and other healthcare organizations.

Key Responsibilities

• Lead the architecture and implementation of clinical data integration and interoperability solutions.
• Design integrations using FHIR R4/R5, HL7 v2, C-CDA, ADT, REST APIs, JSON, and XML.
• Define reusable integration patterns for payer/provider and clinical data exchange.
• Develop solutions for clinical data ingestion, validation, transformation, normalization, and distribution.
• Create source-to-target mappings between clinical systems, enterprise clinical models, and FHIR resources.
• Lead implementation of FHIR APIs, bulk data exchange, and event-driven integrations.
• Address clinical data quality, terminology mapping, provenance, reconciliation, and semantic normalization.
• Provide technical leadership for an enterprise Clinical Data Exchange Platform.
• Collaborate with data engineering teams to develop scalable real-time and batch clinical data pipelines.
• Support integration with Databricks, Snowflake, Microsoft Fabric, or comparable cloud data platforms.
• Establish clinical data lineage, provenance, source attribution, and quality frameworks.
• Ensure appropriate authentication, authorization, consent, security, and audit controls for healthcare data exchange.

Required Technical Skills

Healthcare Interoperability

• FHIR R4/R5
• HL7 v2 / ADT
• C-CDA
• USCDI
• SMART on FHIR
• TEFCA

Clinical Data Domains

• Patient, Provider, Encounter
• Claims and Coverage
• Conditions and Observations
• Laboratory results
• Medications and Procedures
• Allergies and Care Plans

Integration & Data Engineering

• REST APIs
• API Management
• JSON / XML
• Kafka / Event Streaming
• ETL / ELT
• Data pipelines and integration frameworks

Data Platforms & Cloud

• Databricks
• Snowflake
• Microsoft Fabric
• Azure / AWS / GCP
• Data Lakes
• Clinical Data Repositories