General Motors
Senior Systems Engineer - Business Analytics Platforms
$119K–$175K
Austin, Texas, United States of America +1 · On-site · Senior · Full-time · Posted Sep 25, 2026
- Location
- Austin, Texas, United States of America
Warren, Michigan, United States of America - Experience
- 7+ years in platform engineering or similar roles.
- Education
- Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role; applicants needing GM sponsorship now or in the future should not apply.
About the job
Architect, build, and operate enterprise business analytics platforms on Azure and AWS, enabling secure self-service analytics, automation, and reliable platform operations.
What you'll do
- Develop and administer Power BI, Tableau, and Cognos platforms, including platform architecture, data modeling, and report-authoring practices.
- Build platform automation and integrations using Infrastructure as Code, GitOps, CI/CD, APIs, and data processing; implement security, governance, observability, and reliability measures.
- Develop an AI-enabled support and operational intelligence experience, integrate AI agents with data platforms and workflows, and participate in on-call rotations.
What they ask for
- Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related field.
- 7+ years of experience in platform engineering or similar roles.
- Deep understanding of at least two of Power BI, Tableau, and Cognos analytics platforms.
- Hands-on experience designing, implementing, and operating LLM-based AI solutions and agent-based workflows.
Pay
USD $119,200 - $175,450 base salary
Tools
Azure, AWS, Power BI, Tableau, Cognos, Terraform, Python, Databricks DB SQL
AI focus
Build an AI-enabled support and operational intelligence layer; design, operate, and integrate LLM-based solutions and agents with data platforms, security and compliance frameworks, and operational workflows. Practical exposure to Glean, Databricks Genie, and Microsoft Copilot is cited.
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