This role shapes and evolves the data landscape across the clinical automation and AI program at a global healthcare leader
Job Summary
This role shapes and evolves the data landscape across the clinical automation and AI program at a global healthcare leader.
The position balances strategic vision with hands-on execution, requiring the candidate to build actual data pipelines rather than just creating diagrams.
Candidates must demonstrate solid expertise in front-end, back-end, and cloud development while leading teams of experienced cloud full stack developers.
Matching Summary
This role shapes and evolves the data landscape across the clinical automation and AI program at a global healthcare leader.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
10+ years data engineering experience
Expert AWS S3 Glue Athena Redshift
Python PySpark data pipeline development
ReactJS NodeJS cloud full stack skills
AI-ready data architecture design
DevSecOps principles application
Clinical data governance frameworks
Nice-to-have
Experience in regulated healthcare industries
Knowledge of data mesh or fabric patterns
Familiarity with micro-frontends and microservices
Statistical computing or life sciences domain knowledge
Experience with data observability tools
Proven track record building consensus across teams
Key Requirements
10+ years in data engineering or architecture leadership
Bachelor's or Master's degree in Computer Science or related field
Deep expertise in data governance and metadata systems
Strong vendor management and SOW definition capabilities