Design and implement scalable, secure data systems for healthcare analytics. Own the end-to-end data architecture, from modeling to deployment, ensuring compliance with HIPAA and USCDI-US Core standards.
Responsibilities
- Design and maintain logical, physical, and conceptual data models for clinical, claims, and member data.
- Implement interoperability solutions aligned with USCDI-US Core and healthcare regulations.
- Optimize data storage and processing pipelines to reduce latency and ensure real-time access.
- Establish data governance frameworks to ensure integrity, quality, and security across systems.
- Evaluate and recommend data management technologies and platforms for healthcare applications.
Required Skills
- 10+ years of experience in Data Architecture.
- Expertise in cloud platforms: Azure, AWS, GCP, Databricks, Snowflake.
- Proficiency in Python, PySpark, SQL, and NoSQL databases.
- Experience with integration tools: Azure Data Factory, Kafka.
- Deep knowledge of healthcare interoperability standards: HL7, FHIR, CCDs, HIE.
- Hands-on experience in end-to-end data processing and management.
- Ability to work independently as a self-directed thought leader.