Senior Systems Engineer, Business Analytics Platforms

General Motors (GM)

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$119,200–$175,450 / yr
Posted
52 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $186k
This role $147k
$107k most similar roles pay here $232k

This role pays less than 83% of similar roles. Most pay $151,000–$220,087 — the shaded band above. At the midpoint, this role pays about $147k versus about $186k 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 116 open roles on FindRole.

Listed pay typically runs $160,200–$245,000 across 59 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 - Business Analytics Platforms, you will join the business analytics platform engineering team to architect, build, and maintain enterprise-grade analytics platforms. You will develop a three-plane architecture featuring an AI-enabled experience layer, a metadata-driven control layer, and an IaC-driven execution layer. Your daily work involves managing Power BI on Azure Fabric, Tableau on AWS, and Cognos on Red Hat OpenShift. Key responsibilities include implementing Infrastructure as Code with Terraform, establishing GitOps workflows, and building CI/CD pipelines. You will also manage DevSecOps practices, identity management via Microsoft Entra, and observability using Prometheus and Grafana. The role requires expertise in Python, Scala, SQL, and Databricks to solve complex data-driven decision-making challenges while ensuring high availability and security compliance across cloud environments like Azure and AWS for large-scale analytics infrastructure.

What does a Systems Engineer earn?

Median $158250 from 186 postings across 30 companies.

See salary data

What you'll do

  • Architect and maintain enterprise-scale analytics platforms using Power BI, Tableau, and Cognos across Azure and AWS environments.
  • Build and manage infrastructure using Terraform, GitOps workflows, and CI/CD pipelines to automate platform components.
  • Develop AI-enabled experience layers and integrate LLM-based agents into data platforms and operational workflows.
  • Implement DevSecOps practices including security audits, vulnerability mitigation, and automated policy enforcement.
  • Manage identity and access management (IAM) systems, ensuring secure credential rotation and key vault integration.
  • Design robust observability solutions to ensure high availability, disaster recovery, and platform performance optimization.
  • Perform data extraction, transformation, and loading (ETL) into Databricks environments using Python or SQL.
  • Manage gateway connections for on-premises sources while optimizing for cost-efficiency and system performance.

What we're looking 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 the following: Power BI, Tableau, and Cognos analytics platforms.
  • Hands-on experience designing and operating AI solutions built on large language models and agent-based workflows.
  • Experience with cloud platforms (Azure, AWS, or GCP), container orchestration, and cloud operations for business analytics.
  • Expertise in Azure services, specifically Cognos on ARO, Azure Kubernetes Service, and Power BI on Azure Fabric.
  • Proficiency in Infrastructure as Code using Terraform, GitOps workflows, and CI/CD pipelines.
  • Programming skills in Python or Scala for API interaction and data processing, along with strong SQL skills.

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