GCP FHIR Architect

Jobgether SRL; Turkey; Remote; TRY 400,000 - 700,000; Full time

Benefits offered by this job

Remote contract

Job summary

Jobgether SRL is seeking an experienced GCP FHIR Architect in Turkey to design and implement healthcare cloud architectures focused on secure, scalable data exchange. You will work across Cloud Healthcare API, BigQuery, Dataflow, Pub/Sub, and related services to enable interoperability and compliant data processing.

The role requires 8+ years in cloud architecture with deep GCP healthcare knowledge, HL7 FHIR proficiency, and strong communication skills to collaborate with stakeholders in a

Qualifications

• 8+ years in cloud architecture with a focused GCP healthcare track.
• Deep HL7 FHIR knowledge (STU3 and R4) and healthcare data standards.
• Experience with HL7 v2, C-CDA, DICOM, X12 EDI.
• Security, privacy, and regulatory compliance in healthcare environments.
• Ability to lead complex data integration projects.

Responsibilities

• Design end-to-end Google Cloud reference architectures for clinical data ingestion, processing, storage, and serving.
• Implement healthcare data solutions using GCP services like Healthcare Data Engine, BigQuery, Dataflow, Pub/Sub.
• Develop scalable data workflows for interoperability of healthcare data.
• Transform legacy formats into FHIR resources and JSON structures.
• Provide technical leadership across architecture, integration and security.

Skills

Cloud architecture

GCP healthcare

HL7 FHIR

Security & compliance

Stakeholder management

Education

GCP Professional Cloud Architect or Professional Data Engineer (preferred)

Tools

Mirth Connect

Rhapsody

GCP Healthcare API

BigQuery

Dataflow

Pub/Sub

Cloud Functions / Cloud Run

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a GCP FHIR Architect based in Turkey.

As a GCP FHIR Architect, you’ll design and implement cloud architectures that support secure, scalable healthcare data exchange and interoperability.

You’ll combine deep Google Cloud expertise with hands‑on knowledge of healthcare data standards and clinical workflows.

The role focuses on transforming and integrating complex healthcare data using HL7 FHIR and related interoperability technologies.

You’ll work across services such as Cloud Healthcare API, BigQuery, Dataflow, Pub/Sub, and other GCP capabilities to support high-throughput workloads.

You’ll also ensure that architectures meet demanding security, privacy, and regulatory requirements across healthcare environments.

The position requires strong technical ownership, from architecture and data modeling through integration, processing, and delivery.

This is a remote contract opportunity for an experienced cloud architect who can bridge healthcare interoperability requirements with modern cloud engineering.

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.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.