We're looking for a hands-on Data Architect with deep expertise in the Healthcare Payer domain to design and lead enterprise data architecture initiatives. This is an exciting opportunity to build scalable, secure, and compliant data systems that power data-driven decisions across healthcare organizations.
If you enjoy designing end-to-end data solutions and want to make a real impact on healthcare interoperability and analytics, this could be your next big move.
What you'll do:
Design and implement scalable, secure, and high-performing data systems across data warehouses and data lakes.
Build and maintain data models (conceptual, logical, physical) for claims, member, provider, and clinical data.
Drive interoperability solutions aligned with USCDI-US Core and FHIR standards.
Collaborate with business, IT, and data science teams to ensure architecture supports key business goals.
Optimize data pipelines for performance and scalability using Azure Data Factory, Databricks, Kafka, or Informatica.
Establish data governance frameworks ensuring data quality, compliance (HIPAA, GDPR), and consistency.
Stay ahead of the curve by researching and implementing modern data management and integration technologies.
What we're looking for:
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10+ years of experience in Data Architecture, preferably in healthcare.
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Strong hands-on expertise in Azure, Databricks, SQL/NoSQL, Python, PySpark.
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Proven experience designing interoperability solutions (FHIR, HL7, CCDs, HIE).
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Deep understanding of data modeling, governance, and cloud data platforms.
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Experience with BI, analytics, and integration tools like ADF, Kafka, IBM DataStage, or Informatica.
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Excellent communication, collaboration, and problem-solving skills.
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