Overview
Skills
Job Details
The Lead Data Modeler will design, develop, and maintain data models that support transactional data management, analytical data warehouses and data marts.
The ideal candidate will have a deep understanding of healthcare data along with expertise in data architecture, database design, and data warehousing, ensuring that data is structured efficiently for high performance and scalability.
Position Description
Design and implement conceptual, logical, and physical data models for healthcare applications, analytics, and interoperability.
Develop and maintain FHIR-based data models and support integration with FHIR servers. Design and manage analytical data models that power dashboards while ensuring costefficient data ingress and egress.
Collaborate with product engineering, database administrators, data engineers, and business analysts to understand data requirements and optimize data architecture.
Support ETL processes and data pipelines to ensure efficient data integration and transformation.
Conduct data profiling and quality assessments to ensure accuracy, consistency, and integrity.
Document metadata, data lineage, and data dictionaries for healthcare data models.
Implement data governance best practices to ensure regulatory compliance Skills You ll Need
Bachelor's degree in. Computer Science, Information Systems, or related field.
Typically has 10+ years of technical and professional experience
5+ years of experience in data modeling and database design, with a focus on healthcare data.
Expertise in FHIR (Fast Healthcare Interoperability Resources) and HL7 standards.
Experience working with FHIR servers (e.g., Azure FHIR, Google Healthcare API, HAPI FHIR).
Knowledge of data warehousing, ETL processes, and data pipeline development.
Experience with data governance, security, and regulatory compliance in healthcare.
Strong analytical and problem-solving skills with excellent attention to detail. Preferred Skills
Experience with cloud-based healthcare data solutions
Exhibit a strong sense of urgency and ownership for task/project completion.
Highly adept at working collaboratively across multiple business and technical functions to achieve results