Data Warehouse Architect(Teradata)

• Teradata Developer / Data Warehouse Architect
• Location: Lansing, MI (Hybrid – 2 days onsite)
• Duration: Long-Term Contract (Potential Extension)
• Interview: 60-minute Virtual Interview via Microsoft Teams (Video Required)

We are seeking an experienced Teradata Developer / Data Warehouse Architect to support enterprise data warehouse operations for a long-term project in Lansing, Michigan. The ideal candidate will have strong Teradata expertise, Linux experience, and a background in supporting ETL processes, batch operations, and troubleshooting data warehouse environments.

• Required Qualifications
• 8+ years of hands-on experience with Teradata (required).
• Experience supporting data loading from multiple source systems.
• Ability to provide technical guidance and training to development teams.
• 5+ years of Linux experience.
• Strong troubleshooting, analytical, and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Strong decision-making skills with the ability to determine appropriate solutions while adhering to organizational policies.
• Preferred Qualifications
• Previous State of Michigan or other government experience.
• Experience with cloud-based Business Intelligence (BI) tools.
• Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).

• Key Responsibilities
• Support and maintain Teradata data warehouse environments.
• Develop, monitor, and troubleshoot ETL and batch data loading processes from multiple source systems.
• Analyze and resolve production issues related to data warehouse operations.
• Provide technical guidance and targeted training to development teams for troubleshooting and batch support.
• Collaborate with cross-functional teams to ensure reliable and efficient data processing.
• Follow State of Michigan and MDHHS/DTMB standards, policies, and best practices.
• Work independently while contributing effectively within a team environment.

• Work Schedule
• Hybrid (Non-Negotiable):Onsite: Wednesday & Thursday
• Remote: Monday, Tuesday & Friday