Senior Systems Engineer – Business Analytics Platforms

General Motors

Senior Systems Engineer architecting and maintaining analytics platforms for data-driven decision-making at GM. Emphasizing cloud technologies and end-to-end engineering excellence.

Posted 5/22/2026full-timeAustin • Missouri, Texas • 🇺🇸 United StatesSenior💰 $119,200 - $175,450 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCognosGoogle Cloud PlatformGrafanaKubernetesOraclePostgresPrometheusPythonScalaSQLTableauTerraformVault

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Power BITableauCognosAzureAWSTerraformGitOpsPythonScalaSQL

Soft Skills

problem-solvingcustomer focusinfluenceownershipself-startercollaborationcommunicationadaptabilityresults-driventeamwork

Certifications

Bachelor’s degree in EngineeringBachelor’s degree in Information SystemsBachelor’s degree in Computer Science