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GCP FHIR Architect

Posted 2 days ago
Worldwide
10+ years experience
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AI Summary

Design end-to-end cloud reference architectures on GCP to ingest, process, and store clinical data using HL7 FHIR standards. Implement and manage healthcare data engines and integration pipelines for legacy healthcare data formats.

This is a remote position.

This is a GCP Healthcare / FHIR Architect role, primarily looking for someone who combines strong GCP architecture with hands-on healthcare interoperability experience.


Key Responsibilities\

  • Architecture & Design: Design end-to-end cloud reference architectures on GCP to ingest, process, store, and serve clinical data utilizing HL7 FHIR standards.\

  • GCP Healthcare Solutions: Implement and manage GCP Healthcare Data Engine (HDE), Cloud Healthcare API, BigQuery, Dataproc, and Pub/Sub for high-throughput healthcare workflows.\

  • Data Integration & Mapping: Build pipelines converting legacy healthcare data formats (HL7 v2, C-CDA, DICOM) into FHIR resources and JSON structures.\

  • Security & Compliance: Ensure all cloud architectures comply with HIPAA, HITRUST, GDPR, and SOC 2 guidelines, leveraging IAM, KMS, and Data Loss Prevention (DLP).





Requirements

  • Experience: 8+ years in cloud architecture, with at least 3+ years dedicated to GCP healthcare solutions.\

  • FHIR Expertise: Deep working knowledge of HL7 FHIR (STU3, R4), FHIR profiling, resources, bundles, and RESTful API operations.\

  • GCP Core Services: Expertise in Cloud Healthcare API, BigQuery, Dataflow/Apache Beam, Pub/Sub, Cloud Functions/Run, and IAM.\

  • Interoperability: Experience with legacy formats (HL7 v2, CCDA, X12 EDI) and integration engines (Mirth Connect, Rhapsody, or GCP native mapping).\

  • Database & Data Modeling: Strong proficiency in SQL, NoSQL, and relational data modeling for healthcare analytics.\

  • Certifications: GCP Professional Cloud Architect or Professional Data Engineer certification (preferred)​



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