GCP FHIR Architect

Accountabilities

Design end-to-end Google Cloud reference architectures for ingesting, processing, storing, and serving clinical data using HL7 FHIR standards. Architect and implement healthcare data solutions using GCP Healthcare Data Engine, Cloud Healthcare API, BigQuery, Dataproc, Pub/Sub, Dataflow, and related services.

Develop scalable, high-throughput workflows for healthcare data processing and interoperability. Build integration pipelines that transform legacy healthcare formats, including HL7 v2, C-CDA, DICOM, and X12 EDI, into FHIR resources and JSON structures.

Design and implement healthcare data mappings, transformations, and integration patterns across disparate clinical systems. Apply appropriate cloud security and identity architectures using IAM, KMS, Data Loss Prevention, and related controls.

Ensure cloud solutions align with healthcare and data protection requirements, including HIPAA, HITRUST, GDPR, and SOC 2. Develop data models and architectures that support healthcare analytics across relational and NoSQL environments.

Collaborate with technical and business stakeholders to translate healthcare interoperability requirements into scalable architectural solutions. Provide technical leadership across architecture, integration, data engineering, security, and cloud implementation activities.

Requirements

8+ years of experience in cloud architecture, including at least 3 years focused on GCP healthcare solutions. Deep hands-on knowledge of HL7 FHIR, including STU3 and R4, FHIR profiling, resources, bundles, and RESTful API operations.

Strong expertise with GCP services including Cloud Healthcare API, BigQuery, Dataflow/Apache Beam, Pub/Sub, Cloud Functions or Cloud Run, and IAM. Proven experience designing and implementing healthcare interoperability and data integration solutions.

Strong knowledge of healthcare data formats including HL7 v2, C-CDA, DICOM, and X12 EDI. Experience with integration engines such as Mirth Connect, Rhapsody, or equivalent GCP-native mapping and integration capabilities.

Strong SQL skills and experience with relational and NoSQL databases and healthcare-focused data modeling. Understanding of cloud security, privacy, and compliance requirements within healthcare environments.

Ability to design scalable, resilient, and secure architectures for complex clinical data workflows. Strong analytical, communication, and stakeholder management skills, with the ability to explain complex technical concepts clearly.

GCP Professional Cloud Architect or Professional Data Engineer certification is preferred. Ability to work independently and effectively in a remote contract environment.

Benefits

Remote contract position. Opportunity to work on healthcare cloud architecture and clinical data interoperability.

Hands-on exposure to GCP Healthcare Data Engine, Cloud Healthcare API, BigQuery, Dataflow, Pub/Sub, and related technologies. Opportunity to design solutions supporting large-scale healthcare data workflows.

Work at the intersection of cloud architecture, healthcare interoperability, data engineering, and security. Opportunity to contribute to complex healthcare technology initiatives in a flexible remote environment.

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