Senior Systems Engineer - Business Analytics Platforms

General Motors (GM)

Remote Hybrid

Quick summary

Work type
Remote
Location
Austin, TX
Salary
$119,200–$175,450 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $184k
This role $147k
$107k most similar roles pay here $234k

This role pays less than 74% of similar roles. Most pay $145,375–$222,000 — the shaded band above. At the midpoint, this role pays about $147k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 131 open roles on FindRole.

Listed pay typically runs $170,000–$258,500 across 75 roles with salary data.

Most-posted roles

View all roles at General Motors (GM)

At a glance

TL;DR · Senior Systems Engineer - Business Analytics Platforms

As a Senior Systems Engineer at General Motors' business analytics platform engineering team in Austin or Global Technical Center, you'll architect and maintain cutting-edge analytics platforms on Azure and AWS, including Power BI Premium, Tableau Analytics, and Cognos Analytics. Your daily tasks will involve designing scalable, secure solutions using container technologies like Kubernetes and implementing GitOps workflows with Terraform for Infrastructure as Code. You’ll also develop API integrations, automate user requests through Slack, and ensure robust observability and disaster recovery designs. With a strong background in cloud platforms, AI integration, and DevSecOps practices, you'll drive innovation and efficiency across GM’s data-driven decision-making processes, collaborating with cross-functional teams to deliver enterprise-grade solutions that empower thousands of users globally.

What you'll do

  • Design and develop scalable analytics platforms on Azure and AWS using container technologies.
  • Build and maintain Infrastructure as Code using Terraform and establish CI/CD pipelines.
  • Implement comprehensive DevSecOps practices including regular security audits and compliance measures.
  • Develop API integrations, data extraction, transformation, and loading to Databricks DB SQL.
  • Manage identity and access management, implement security compliance measures in cloud environments.

What we're looking for

  • 7+ years of experience in platform engineering or similar roles
  • Strong hands-on experience with Power BI, Tableau, and Cognos analytics platforms
  • Expertise in Azure cloud services including Kubernetes and PBI service on Azure Fabric
  • Experience with GitOps workflows and Infrastructure as Code tools like Terraform
  • Proficiency in DevSecOps practices, CI/CD pipelines, and scripting for automation
  • Strong SQL skills and familiarity with Databricks Lakehouse ecosystem
  • Knowledge of application performance optimization and identity/access management

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