Data Modeler
$70 per hourTemporary
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
Vacancy posted 1 day ago
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