Description

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.

Education

Bachelor's degree