HybridLocal Teradata Data Warehouse Architect

Job ID: MI-151381 ()10A


Hybrid/Local Teradata Data Warehouse Architect (15) with Erwin Model Mart ETL data governance metadata management AWS/Azure/GCP BI/Tableau/Power BI/SAP BO Agile DevOps experience

Location: Lansing MI (DTMB)
Duration: 12 Months
Remote or On-site: 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.


Required Qualifications:
Bachelors 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.


Preferred Qualifications:
Experience in cloud data platforms (AWS Azure GCP) and integration with Teradata.
Familiarity with BI/reporting tools (Tableau Power BI SAP Business Objects etc.).
Exposure to Agile / DevOps methodologies.


Top Skills & Years of Experience:
Bachelors 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 GCP) and integration with Teradata.


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.

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