Data Warehouse Architect - Lansing, MI

DTS is looking for Data Warehouse Architect for a direct client position in Lansing, MI

Required Skills:

-(EXTREMELY IMPORTANT) Strong communication skills in English with the ability to translate complex technical concepts to both technical and non-technical stakeholders. Candidates who cannot communicate effectively in English will not be considered.

-Proven ability to work both independently and collaboratively within a team environment. Must be able to work independently when needed.

-Strong problem-solving and analytical thinking skills, particularly in troubleshooting complex data and system issues
-3+ years Teradata experience Preferred

Skills:

-Previous government experience or State of Michigan experience is a plus but not required.

- Experience with cloud-based BI tools

Job Responsibilities:

Responsible for complex Common Batch Framework and Common Scheduler to ensure current and reliable data is available for critical business processes and decision making. Responsible for Data Warehouse change management infrastructure and all promotions of code and ddl; performing build engineer tasks for both manual and automated promotion processes. Responsibility for complex Linux security model on DW ETL servers. (Servers are administered by another group, but our team is responsible for the security structure and authorizes user access to the groups and sudos) Responsibility for Teradata security and access.

Conduct data architecture reviews and audits to ensure alignment with enterprise standards Create and maintain comprehensive documentation of data architecture, processes, and solutions Responsible for providing support for escalated Data Warehouse issue troubleshooting and resolution. Evaluate and recommend new data technologies and tools to improve performance and scalability Ensure data quality, accuracy, and effective use of enterprise data assets Manage and support data integration processes, including ETL workflows across multiple systems Collaborate with external vendors and third-party service providers as needed Support patch management, system upgrades, and ongoing system maintenance Monitor system performance and troubleshoot technical issues across data platforms Perform data profiling and implement data quality rules for assessment and validation Execute data cleansing and standardization using both built-in and custom data rules Develop and maintain disaster recovery and backup strategies for data systems Lead efforts to migrate data warehouse processes to standardized/common frameworks Conduct elevated access reviews and user audits to ensure compliance Identify and remediate audit findings related to data systems and security