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Chief Data Architect
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About the Role
We are seeking an experienced Senior Data Engineer to lead the design and implementation of scalable data pipelines that support our AI-driven applications.
- Develop event-driven data architectures that enable real-time clinical workflows.
- Integrate with Electronic Health Record (EHR)/Electronic Medical Record (EMR) systems using standards such as Fast Healthcare Interoperability Resources (FHIR) and Health Level Seven (HL7).
- Build reliable systems to ingest, track, and update clinical events in real-time.
- Ensure downstream Machine Learning (ML) systems receive high-quality, structured data for inference and decision support.
- Establish observability, monitoring, and error handling for robust pipeline performance.
- Collaborate with ML engineers to align data flows with model needs.
- Continuously improve pipeline design to maximize scalability, resilience, and automation.
What we're looking for
- 5+ years of experience building and maintaining production-grade data pipelines.
- Strong background in workflow orchestration and event-driven systems.
- Proficiency with relational databases and Structured Query Language (SQL) as well as handling unstructured data.
- Experience operating in cloud environments and working with distributed, highly available systems.
- Track record of delivering data infrastructure that supports ML or analytics applications.
- Excellent communication and collaboration skills; able to drive projects independently while working as part of a cross-functional team.
