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GE HealthCare is seeking a Principal Data Architect to design and evolve cloud-native data platforms that enhance patient outcomes through secure data management and advanced analytics. The ideal candidate should possess extensive experience in AWS data architecture and a strong understanding of healthcare data governance.
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Job Summary
Join us in building clinical grade data platforms that power meaningful insights across connected devices, diagnostics, and digital health.
We offer a collaborative environment where diverse perspectives are valued along with opportunities for ongoing learning, mentorship, and professional growth.
Your work will have a direct impact on improving patient outcomes and supporting clinicians, product teams, and partners around the world.
Matching Summary
Match Score: 75
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GE HealthCare is seeking a Principal Data Architect to design and evolve cloud-native data platforms that enhance patient outcomes through secure data management and advanced analytics. The ideal candidate should possess extensive experience in AWS data architecture and a strong understanding of healthcare data governance.
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Salary
Base: $188,000.00-$282,000.00 Annual; Bonus/Equity: Performance based incentive compensation including cash bonuses and/or long term incentives; Benefits: Medical, dental, vision, paid time off, 401(k), life, disability, accident insurance, tuition reimbursement
Skills & Requirements
Must-have
AWS data architecture at scale
PHI and regulated ML governance
Cloud-native data platform design
Data privacy and security controls
FHIR, DICOM, HL7 interoperability
S3, Lake Formation, Glue, Athena expertise
SageMaker ML workflows
Nice-to-have
Apache Iceberg or Delta Lake knowledge
CDC ingestion experience
FinOps practices for data platforms
Curated imaging pipelines familiarity
Vector search for clinical text
Collaborative and growth mindset culture
Key Requirements
12+ years experience in data or analytics platforms
6+ years leading AWS data architecture
Work out of Central Time Zone
Experience with PHI governance and regulated ML workflows
Legal authorization to work in the United States
Work Rights
Must be legally authorized to work in the United States