Data Modeler - FHIR/Erwin

Job Description

Job Description We are seeking an experienced Data Modeler to join our team. The Data Modeler will be responsible for designing, developing, and maintaining data models using HL7 and FHIR models for claims and clinical data from the provider standpoint. Knowledge of the EPIC EHR system is highly desirable. This role involves working closely with product owners, SMEs, and data architects to understand business requirements and translate them into logical and physical data models. The ideal candidate will have strong experience in dimensional data modeling and proficiency with ER Studio and Erwin data modeling tools. Key Responsibilities Data Modeling: Design, develop, and maintain conceptual, logical, and physical data models to meet business requirements. Requirement Gathering: Collaborate with product owners, SMEs, and end-users to gather requirements and convert them into working documents and models. Data Dictionary Maintenance: Maintain the data dictionary of entities and metadata repositories to ensure accurate and up-to-date information. Project Participation: Participate in projects through various phases, ensuring data models align with project goals. Collaboration: Work closely with DBAs to ensure effective data storage, retrieval, and security. Performance Optimization: Prepare logical data models and physical database designs optimized for performance, availability, and reliability. Required Skills & Qualifications 10+ years of experience in data modeling, database design, and healthcare data management. Strong expertise in HL7 and FHIR data models for claims and clinical data. Proven experience in dimensional data modeling (conceptual, logical, and physical data modeling) using ER Studio. Hands-on experience with Erwin data modeling tools. Knowledge of SQL, NoSQL databases, and data warehouse technologies. Experience with EHR/EMR systems, preferably EPIC EHR. Strong understanding of healthcare standards, regulations, and compliance requirements. Ability to work collaboratively with product owners, SMEs, data architects, and DBAs. Strong analytical and problem-solving skills. (ref:hirist.tech)