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Serve as the Data Architect for the Health Care Payer domain, responsible for designing, developing, and maintaining data platforms-including data warehouses and data lakes-to support secure, efficient collection, storage, and analysis of healthcare data.
Job Responsibility:
Serve as the Data Architect for the Health Care Payer domain, responsible for designing, developing, and maintaining data platforms-including data warehouses and data lakes-to support secure, efficient collection, storage, and analysis of healthcare data
Partner with business and IT stakeholders to ensure the data architecture aligns with organizational needs while meeting compliance and security requirements
Lead the design and implementation of scalable, secure data systems and interoperability solutions compliant with USCDI/US Core standards
Build and maintain conceptual, logical, and physical data models across healthcare domains such as clinical, claims, member, provider, and EHR data
Assess and recommend data management technologies, frameworks, and methodologies to improve data integration and analytics capabilities
Enforce data governance practices to ensure data quality, integrity, security, and regulatory compliance, including HIPAA, GDPR, and other privacy laws
Act as an independent thought leader capable of self-direction and driving architectural decisions
Apply strong data management principles and hands-on experience with end-to-end data processing
Collaborate with analysts, data scientists, IT teams, and business leaders to understand data needs and ensure architectural alignment
Optimize data storage and retrieval to minimize latency and support real-time and historical analytics
Contribute to establishing and maintaining data governance standards across systems
Stay current with emerging technologies in healthcare data management and propose innovative solutions
Provide mentorship, training, and guidance to team members
Requirements:
Healthcare experience is a must
Deep expertise in data architecture, database technologies, and cloud platforms (Azure, AWS, GCP)
Strong understanding of healthcare interoperability standards such as HL7, FHIR, CCDs, HIE, and USCDI/US Core
Proficiency with SQL and NoSQL databases, Python, and PySpark
Experience using data modeling tools (e.g., Erwin)
Hands-on experience with integration and data engineering tools such as Azure Data Factory, Databricks, Kafka, IBM DataStage, and Informatica
Familiarity with business intelligence and analytics platforms
Strong analytical and problem-solving abilities
Excellent communication and collaboration skills for working with cross-functional teams