Job Description
This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center or GM Global Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].
The Role
At General Motors, we're revolutionizing decision-making through cutting-edge business analytics platforms. Our business analytics platform engineering team is at the forefront of this transformation, leveraging the power of Azure and AWS to deliver enterprise-grade solutions that provide insights to everyone across the company.
As a Senior Systems Engineer, you'll play a pivotal role in shaping the future of our data-driven culture. You'll be responsible for architecting, building, and maintaining state-of-the-art analytics platforms including Power BI Premium on Azure Fabric, Tableau Analytics on AWS, and Cognos Analytics on Azure Red Hat OpenShift (ARO) to name a few.
This is more than just a technical role – it's an opportunity to drive innovation and empower thousands of users with self-serve capabilities and frictionless experiences. You'll be at the helm of developing these platforms as products, ensuring end-to-end engineering excellence and setting new standards in developer productivity.
This role offers an exciting opportunity to shape the future of business analytics platforms, driving innovation and efficiency in data-driven decision-making across the organization.
If you're passionate about cloud technologies, thrive on complex challenges, and want to make a tangible impact on a global scale, we want you on our team. Join us in building the future of business analytics platforms at GM.
What You’ll Do
- Build and evolve a future‑ready, enterprise‑scale business analytics platform using a proven three‑plane architecture with an AI‑enabled experience layer for user support and operational intelligence, a metadata and configuration driven control layer, and an IaC and API driven execution layer supporting Power BI, Cognos, and Tableau, while enabling end‑to‑end automation of user requests through Slack integrations and modern platform engineering practices.
- Design and develop scalable, secure, and reliable analytics platforms on Azure and AWS, leveraging container technologies for efficient application deployment and management.
- BI platforms administration, management and operations, including data modeling and report authoring best practices using Power BI, Tableau, and Cognos.
- Build and maintain Infrastructure as Code using Terraform, implement GitOps workflows, and establish CI/CD pipelines for platform components and applications.
- Develop API integration, data extraction, transformation, and loading to Databricks DB SQL
- Implement comprehensive DevSecOps practices, including regular security audits and vulnerability mitigation.
- Establish robust observability solutions, implement disaster recovery and high availability designs to ensure platform reliability.
- Manage identity and access management, implement security compliance measures including password/token rotations and key vault integration.
- Implement Gateway connections for accessing on-premises sources, optimizing platform performance and cost-efficiency.
- Participate in on-call rotations, demonstrate customer focus, and drive results in ambiguous project scenarios.
- Implement Policy as Code and Compliance as Code to automate policy enforcement, ensure consistent governance, and compliance with industry standards & regulations.
- Influence change, naturally accept ownership for project deliverables, explore opportunities to add value to job responsibilities
- Self-starter with the ability to influence others, working in teams and independently with leaders and stakeholders across many different organizations within Software and Services
- Strong problem-solving skills and willingness to do what it takes to get the job done
Your Skills & Abilities (Required Qualifications)
- Bachelor’s degree in Engineering, Information Systems, Computer science or related field
- 7+ years of experience in platform engineering or similar roles
- Deep understanding of at least two of the three platforms – Power BI, Tableau, and Cognos analytics platforms
- Strong hands‑on experience designing, implementing, and operating AI solutions built on large language models and agent-based workflows, with practical exposure to enterprise platforms such as Glean, Databricks Genie, and Microsoft Copilot. Proven ability to integrate AI agents with data platforms, security and compliance frameworks, and day to day operational workflows to deliver scalable, reliable, and business focused outcomes
- Experience with cloud platforms such as Azure, AWS, or GCP, container orchestration technologies and cloud operations for business analytics platforms
- Strong expertise in Azure cloud services, particularly Cognos Analytics on ARO, Azure Kubernetes Service, and PBI service on Azure Fabric
- Experience with GitOps workflows and tools (e.g., Terraform, ArgoCD)
- Hands-on experience with Infrastructure as Code tools, especially Terraform
- Experience with DevOps practices and CI/CD tools, pipelines, and scripting for automation
- Hands-on programming skills in Python or Scala for API interaction and data processing
- Ability to work with various data formats (e.g., JSON, YAML)
- Strong SQL skills with the ability to perform advanced DML operations
- Familiarity with Databricks Lakehouse ecosystem (e.g., DB SQL, Workflows) and database technologies (PostgreSQL, SQL Server, Oracle)
- Experience and knowledge on application and platform performance optimization
- Solid understanding of DevSecOps practices, tools and codifying policies & compliance
- Experience with OAuth 2.0 and Microsoft Entra (Azure AD)
- Knowledge of data governance and security best practices
- Strong skills in monitoring and observability tools (e.g., Prometheus, Grafana)
- Experience with identity and access management in cloud environments
- Knowledge of FinOps principles and cost optimization strategies
- Excellent problem-solving, communication and collaboration skills
This job may be eligible for relocation benefits.
Compensation:
- The expected base compensation for this role is: $119,200 - $175,450. Actual base compensation within the identified range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
- Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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