Design and implement health data integration strategies across complex healthcare ecosystems.
Serve as the bridge between clinical stakeholders and engineering teams, translating business requirements into scalable technical architectures.
Lead discovery sessions with clients and stakeholders to understand data needs, workflows, and system landscapes.
Define scalable ingestion and normalization pipelines for clinical, claims, and administrative data.
Develop technical specifications, data flow diagrams, and integration roadmaps.
Implement and optimize data exchanges using HL7 v2, FHIR R4, C-CDA, X12 EDI, and other healthcare standards.
Design FHIR-based APIs and ensure compliance with regulatory frameworks such as USCDI, ONC, and HIPAA.
Evaluate build vs. buy decisions and recommend appropriate technologies.
Collaborate with data teams to design performant data models for analytics and reporting.

B.S. in Computer Science, Systems Engineering, Management, or related or equivalent experience.
5+ years of experience in healthcare data engineering, health IT, or a related technical field.
Strong working knowledge of healthcare interoperability standards: HL7 v2, FHIR, C-CDA, or X12.
Exposure to EHR platforms such as Epic or Cerner.
Proficiency in at least one backend language (Python, Java, C#) and strong SQL/NoSQL skills.
Excellent communication skills with the ability to lead technical discussions and document solutions clearly.

Data Interoperability Solutions Architect

Key skills