Data​/Lakehouse Architect - FHIR & Clinical Data

Data/Lakehouse Architect - FHIR & Clinical Data

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data/Lakehouse Architect - FHIR & Clinical Data based in United States.

This is a high-impact architecture role focused on building a governed, interoperable data foundation for large-scale healthcare programs. You will lead the architecture and engineering design of an enterprise lakehouse supporting clinical, claims, eligibility, social-care, and public-health data. The role combines hands-on healthcare data engineering with AWS cloud architecture, FHIR-aligned modeling, and enterprise data governance. You will transform complex, heterogeneous source data into reliable, production-grade structures that support analytics, APIs, reporting, and operational decision-making.

Working within a collaborative, multi-vendor Medicaid environment, you will partner with security, integration, FHIR, analytics, and delivery teams. The position offers the opportunity to influence foundational data capabilities while working on technically challenging public-sector healthcare initiatives. This is a fully remote U.S. role, with travel to Jefferson City, Missouri, as directed.

• Lead the architecture and implementation of a modern enterprise lakehouse, defining raw/bronze, curated/silver, and reporting/gold layers while maintaining source fidelity, auditability, and traceability.
• Design and implement batch, near-real-time, and event-driven ingestion pipelines for clinical, claims, eligibility, social-care, and public-health data using AWS-native technologies, including AWS Glue.
• Transform heterogeneous clinical feeds into governed transactional and analytical structures using canonical and FHIR-aligned data models.
• Establish robust data-quality controls covering validation, reconciliation, deduplication, harmonization, schema evolution, and exception management.
• Implement enterprise metadata, lineage, cataloging, provenance, retention, and traceability capabilities from source systems through downstream reports and APIs.
• Coordinate lakehouse integration with FHIR platforms, API layers, master data and patient identity capabilities, analytics environments, and CMS/state reporting systems.
• Develop architecture decisions, data mappings, interface specifications, operational runbooks, and knowledge-transfer materials suitable for ongoing state operations.
• Collaborate closely with security, integration, FHIR, analytics, and delivery teams across a complex, multi-vendor Medicaid environment.
• Translate business and healthcare data requirements into scalable architecture and production-ready data solutions.

• 8+ years of experience mapping unstandardized clinical data feeds into cloud-hosted transactional database tables.
• 8+ years of experience in data engineering or data architecture, including AWS, ingestion pipelines, canonical/FHIR data modeling, and metadata or data-lineage practices.
• Demonstrated ability to translate complex healthcare source data into governed, production-grade data models and reliable data pipelines.
• Strong hands-on knowledge of AWS data services and cloud-based data architecture, particularly AWS Glue and related ingestion, storage, orchestration, cataloging, observability, and security capabilities.
• Strong understanding of canonical and FHIR-aligned healthcare data modeling and interoperability concepts.
• Experience working with complex clinical data and heterogeneous healthcare source systems.
• Preferred experience with FHIR R4, US Core, HL7 v2, CDA/C-CDA, healthcare terminology, or healthcare implementation guides.
• Experience with lakehouse architectures, metadata management, data governance, lineage, provenance, and data-quality frameworks is highly valued.
• Healthcare industry experience involving Medicaid, MMIS/MES, state health and human services, claims and eligibility, or public-health data is preferred.
• Familiarity with master patient indexes, master data management, consent management, CMS reporting, HIPAA, or MARS-E controls is advantageous.
• Strong architectural thinking, analytical problem-solving,…