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Chief Data Architect
3 weeks ago
About the Role
As a Senior Data Engineer, you will be responsible for designing, building, and operating the backbone of AI-powered applications.
You will work closely with software engineers, ML specialists, and clinical partners to create scalable pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to machine learning systems for inference.
Key Responsibilities:- Design, build, and operate event-driven data pipelines that support real-time clinical workflows.
- Integrate with electronic health record (EHR) systems using standards such as Fast Healthcare Interoperability Resources (FHIR) and Health Level Seven International (HL7).
- Develop 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.
- 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.
- 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.
- Opportunity to work on cutting-edge AI projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
- Knowledge of HIPAA and healthcare data security/privacy requirements is a plus.
- Familiarity with FHIR/HL7 data modeling in production settings is desired.
