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Teradata Architect

Teradata Architect

OpenkyberIN, United States
2 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Job ID : MI-91125)10A Hybrid / Local (Lansing ONLY) Teradata Data Warehouse Architect (15+) with Erwin Model Mart, ETL, data governance, metadata management, AWS / Azure / Google Cloud Platform, 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 :

  • 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.

Preferred Qualifications :

  • 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.
  • 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.
  • 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.
  • Create a job alert for this search

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