
Chief Healthcare Data Architect
4 days ago
Job Description
We are seeking a Senior Data Engineer to build and maintain production-grade data pipelines that support real-time clinical workflows.
The successful candidate will report to the Head of AI and Engineering and be responsible for designing, building, and operating scalable event-driven data pipelines that integrate healthcare data.
This is a critical role where you will create reliable systems to ingest, track, and update clinical events in real-time, ensuring downstream machine learning systems receive high-quality, structured data for inference and decision support.
You will work in close collaboration with software engineers, ML specialists, and our clinical partners to bring our vision to life.
- Design, build, and operate scalable data pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to our machine learning systems for inference.
- Integrate with electronic health record/medical record systems using standards such as FHIR and HL7.
- Develop reliable systems to ingest, track, and update clinical events in real-time.
- Ensure downstream machine learning systems receive high-quality, structured data for inference and decision support.
- Establish observability, monitoring, and error handling for robust pipeline performance.
- Collaborate with machine learning engineers to align data flows with model needs.
- Continuously improve pipeline design to maximize scalability, resilience, and automation.
Requirements
- 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 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 machine learning or analytics applications.
- Excellent communication and collaboration skills; able to drive projects independently while working as part of a cross-functional team.
Bonus Requirements
- Knowledge of HIPAA and healthcare data security/privacy requirements.
- Familiarity with FHIR/HL7 data modeling in production settings.
- Experience supporting machine learning inference pipelines in real-world applications.
- Expertise with image data.
- Exposure to vector databases, embedding stores, or document retrieval systems.
- Background in healthcare IT, clinical workflows, or health data analytics.
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