Position Title: Data Modeller Location: Nashville, TN Industry: Healthcare Employment Type: 6-Month Contract-to-Hire Start Date: Immediate Work Authorization: Visa Independent Candidates only (U.S. Citizens, Green Card holders) Job Summary: We are seeking an experienced Data Modeller to lead the design and implementation of enterprise-scale data models within the healthcare domain. The ideal candidate will have a strong background in data architecture, logical modeling, metadata management, and data governance. Key Responsibilities: Data Analysis & Logical Modeling • Architect and oversee enterprise-wide data modeling initiatives. • Lead the development of scalable, high-performance data models for enterprise applications. • Define and enforce best practices for schema evolution and data interoperability. • Establish organization-wide data modeling standards and frameworks. • Conduct advanced data analysis to ensure alignment with business requirements. • Create logical and object data models of moderate to high complexity. • Develop data modeling automation frameworks to ensure consistency and efficiency. • Implement metadata management and data quality monitoring solutions. • Define and execute data transformation strategies and solutions. • Ensure data governance and security controls are implemented and maintained. • Perform code reviews and optimize SQL queries and ETL processes. • Develop automated validation procedures for data integrity and consistency. Collaboration with Stakeholders • Work closely with Data Product Owners to gather and refine business requirements. • Partner with senior leadership to shape enterprise data strategy. • Translate business needs into scalable, maintainable technical solutions. • Promote adoption of standardized modeling practices across data teams. Preferred Background: • Strong experience in healthcare data environments and compliance (e.g., HIPAA). • Proven expertise in logical and physical data modeling tools and techniques. • Proficient in SQL, ETL tools, and metadata management platforms. • Familiarity with data governance frameworks and security protocols. • Ability to work cross-functionally and communicate effectively with technical and non-technical stakeholders.