What are the responsibilities and job description for the REQT: Direct Client: Data Modeler @ Lansing, MI Hybrid Only Locals position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, KSN Technologies, Inc., is seeking the following. Apply via Dice today!
Data Modeler
Lansing, MI Hybrid Only Locals
One Year Contract
Please do not submit profiles of candidates who are not local to Michigan (MI).
Candidates with prior experience working for State Government clients are preferred
Interview Process: Virtual Interview via MS Teams
Accepting local candidates within 2 hours of Lansing ONLY. Position will be hybrid, in office 2 days a week upon start
Top Skills & Years of Experience:
Bachelor's degree in Computer Science, Information Systems, or related field.
5 years of experience in data modeling for large-scale data warehouse environments.
Strong experience with Teradata databases and architecture.
Expertise in Erwin Model Mart.
Experience in cloud data platforms (AWS, Azure, Google Cloud Platform) and integration with Teradata.
Job Summary
We are seeking an experienced Data Modeler with strong expertise in Teradata and Erwin Data Modeler tools. The ideal candidate will be responsible for designing, implementing, and maintaining enterprise data models that support analytical, operational, and reporting needs. This role requires close collaboration with business analysts, data architects, ETL developers, and database administrators to ensure data integrity, scalability, and performance.
Key Responsibilities
Data Modeler
Lansing, MI Hybrid Only Locals
One Year Contract
Please do not submit profiles of candidates who are not local to Michigan (MI).
Candidates with prior experience working for State Government clients are preferred
Interview Process: Virtual Interview via MS Teams
Accepting local candidates within 2 hours of Lansing ONLY. Position will be hybrid, in office 2 days a week upon start
Top Skills & Years of Experience:
Bachelor's degree in Computer Science, Information Systems, or related field.
5 years of experience in data modeling for large-scale data warehouse environments.
Strong experience with Teradata databases and architecture.
Expertise in Erwin Model Mart.
Experience in cloud data platforms (AWS, Azure, Google Cloud Platform) and integration with Teradata.
Job Summary
We are seeking an experienced Data Modeler with strong expertise in Teradata and Erwin Data Modeler tools. The ideal candidate will be responsible for designing, implementing, and maintaining enterprise data models that support analytical, operational, and reporting needs. This role requires close collaboration with business analysts, data architects, ETL developers, and database administrators to ensure data integrity, scalability, and performance.
Key Responsibilities
- Design, develop, and maintain logical and physical data models for Teradata-based data warehouses and data marts.
- Use Erwin Data Modeler to create, update, and maintain data models, metadata, and data dictionaries.
- Analyze business requirements and translate them into effective database designs.
- Define and implement data modeling standards, best practices, and naming conventions.
- Collaborate with data architects and ETL teams to ensure consistency between data models and ETL processes.
- Perform data profiling, data analysis, and impact analysis on data model changes.
- Optimize data structures for performance, scalability, and maintainability in the Teradata environment.
- Support data governance and metadata management initiatives.
- Participate in code reviews, design sessions, and data quality assessments.
- Provide documentation and support for production and development teams.
- Bachelor's degree in Computer Science, Information Systems, or related field.
- 5 years of experience in data modeling for large-scale data warehouse environments.
- Strong experience with Teradata databases and architecture.
- Expertise in Erwin Model Mart.
- Strong understanding of normalized and dimensional modeling techniques.
- Experience with ETL design concepts, data governance, and metadata management.
- Solid understanding of SQL and database performance tuning.
- Excellent analytical, communication, and documentation skills.
- Experience in cloud data platforms (AWS, Azure, Google Cloud Platform) and integration with Teradata.
- Familiarity with BI/reporting tools (Tableau, Power BI, SAP Business Objects, etc.).
- Exposure to Agile / DevOps methodologies.
