Data Modeler

Kforce has a client in need of a Data Modeler in Westlake, TX. Responsibilities:

• Design, develop, and maintain data models that support business operations, reporting, analytics, and integration needs
• Build conceptual, logical, and physical models for transactional and analytical systems
• Create data mapping specifications, transformation logic, and business rules for large-scale data platforms
• Partner with product, architecture, engineering, and business teams to translate requirements into scalable data solutions
• Define and promote data modeling standards, naming conventions, and best practices
• Support data quality, governance, metadata, lineage, and stewardship initiatives
• Optimize data structures for performance, scalability, usability, and long-term maintainability
• Guide engineering teams on data design, integration patterns, and dataset development
• Identify opportunities to modernize legacy models and improve data architecture
• Participate in Agile planning, design reviews, and backlog refinement
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
• 8+ years of experience in data modeling, database design, data architecture, or related data roles
• Strong experience creating conceptual, logical, physical, dimensional, normalized, and enterprise data models
• Hands-on experience with relational databases, SQL development, and performance tuning
• Knowledge of data warehousing, operational data stores, ETL/ELT, and data integration practices
• Experience with data modeling tools such as Erwin, PowerDesigner, Hackolade, or similar platforms
• Familiarity with insurance, financial services, or other highly transactional business domains
• Understanding of data governance, metadata management, lineage, and data lifecycle concepts
• Strong analytical, communication, and problem-solving skills
• Ability to partner across technical and business teams in an Agile environment
• Passion for data quality, modern data design, and continuous improvement
• Experience with cloud data platforms, data lakes, or lakehouse architectures is a plus