Contractor - Senior Data Modeler
About The Position
Your Assignment at a Glance Design and maintain conceptual, logical, and physical data models that align with business and technical requirements. Develop relational, dimensional, and enterprise data models supporting analytics, reporting, and operational systems. Collaborate with data architects, engineers, and business teams to translate complex requirements into scalable data structures. Utilize industry-standard data modeling tools (e.g., DbSchema Erwin, ER/Studio) for model creation and documentation. Ensure modeling standards, metadata management, and governance practices are consistently applied. Provide strategic input to data architecture and modernization initiatives across cloud environments. Integrate data models into ETL/ELT pipelines, collaborating with data engineering teams to ensure accuracy and performance. Write and optimize SQL queries to validate data structures, test model performance, and support analytics use cases. Work with cloud data platforms such as Databricks and AWS to implement and manage data models. 6 Month Contract This position is for a contract role with The Friedkin Group. As a contractor, you will play an essential role in supporting our business needs while bringing your expertise and skills to our team. Contractors are engaged for a defined period and assignment. Contractors are not employees of The Friedkin Group, and as such, they are not eligible for company-sponsored benefits, including health insurance, paid time off, or retirement plans.
Requirements
- 10+ years of experience in data modeling and data architecture roles within complex enterprise environments.
- Expertise in relational and dimensional modeling techniques.
- Proficiency with one or more data modeling tools (e.g., DbSchema, Erwin, ER/Studio).
- Strong SQL skills, including query design, optimization, and troubleshooting.
- Understanding of ETL/ELT processes and integrating models into data pipelines.
- Experience working with cloud-based data ecosystems such as Databricks and AWS.
- Solid grasp of data management principles, normalization, and performance tuning.
- Excellent analytical, communication, and stakeholder management skills.
- Familiarity with data warehouse or data lake architectures.
- Knowledge of data governance, metadata management, and modeling standards.
Responsibilities
- Design and maintain conceptual, logical, and physical data models that align with business and technical requirements.
- Develop relational, dimensional, and enterprise data models supporting analytics, reporting, and operational systems.
- Collaborate with data architects, engineers, and business teams to translate complex requirements into scalable data structures.
- Utilize industry-standard data modeling tools (e.g., DbSchema Erwin, ER/Studio) for model creation and documentation.
- Ensure modeling standards, metadata management, and governance practices are consistently applied.
- Provide strategic input to data architecture and modernization initiatives across cloud environments.
- Integrate data models into ETL/ELT pipelines, collaborating with data engineering teams to ensure accuracy and performance.
- Write and optimize SQL queries to validate data structures, test model performance, and support analytics use cases.
- Work with cloud data platforms such as Databricks and AWS to implement and manage data models.
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What This Job Offers
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
