AWS Database Engineer / Cloud DBA

Job Title : 151381- Data Warehouse Architect 5

Department : DTMB

Work Location : 235 S Grand Ave, Lansing, MI 48933, US, (Hybrid)

Projected Start Date : 12 / 15 / 2025

Projected End Date : At least 1 Years from projected start date

Extension : 1 year with possible extension

Please Note :

Only candidates who are legally authorized to work in the United States should apply. Candidates without valid work authorization are strictly advised not to apply, as they will not be considered or submitted to the client.

Accepting local candidates within 2 hours of Lansing ONLY. Position will be hybrid, in office 2 days a week upon start and there is NO REMOTE ONLY option.

To explore further details about this opportunity, please visit our company website and proceed with your application directly : APPLY ONLINE

Job Description : 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.

Required Qualifications

Preferred Qualifications