Senior Systems Engineer, Business Analytics Platforms

General Motors (GM)

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Quick summary

Work type: On-site
Location: Austin, TXWarren, MI
Salary: $119,200–$175,450 / yr
Employment: Full-time
Posted: 32 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k

This role $147k

$108k $225k

below market most similar roles pay here above market

This role pays less than 86% of similar roles. Most pay $151,000–$213,400 — the blue band above. At the midpoint, this role pays about $147k versus about $182k 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 196 open roles on FindRole.

Listed pay typically runs $159,200–$245,000 across 54 roles with salary data.

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View all roles at General Motors (GM)

At a glance

TL;DR · Senior Systems Engineer, Business Analytics Platforms

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The Senior Systems Engineer - Business Analytics Platforms joins the business analytics platform engineering team to architect, build, and maintain enterprise-grade analytics platforms. This role involves developing a three-plane architecture featuring an AI-enabled experience layer, a metadata-driven control layer, and an IaC-driven execution layer. Key responsibilities include managing Power BI Premium on Azure Fabric, Tableau Analytics on AWS, and Cognos Analytics on Azure Red Hat OpenShift. The engineer will utilize Terraform for Infrastructure as Code, implement GitOps workflows, and establish CI/CD pipelines. Technical requirements include proficiency in Python, Scala, SQL, and Databricks Lakehouse. The role solves the business problem of providing self-serve analytics and operational intelligence through automated user requests, robust observability, and DevSecOps practices to ensure secure, scalable, and reliable data-driven decision-making across the organization.

What does a Systems Engineer earn?

Median $160000 from 251 postings across 41 companies.

See salary data

Skills

Azure AWS Power BI Tableau Cognos Analytics Terraform Python Scala SQL Databricks Kubernetes Azure Kubernetes Service Azure Fabric GitOps CI/CD DevSecOps Prometheus Grafana PostgreSQL SQL Server Oracle OAuth 2.0 Microsoft Entra JSON YAML

What you'll do

Architect, build, and maintain enterprise-scale analytics platforms using Power BI, Tableau, and Cognos on Azure and AWS.
Develop a three-plane architecture featuring an AI-enabled experience layer, a metadata-driven control layer, and an IaC-driven execution layer.
Build and maintain Infrastructure as Code (IaC) using Terraform and implement GitOps workflows and CI/CD pipelines.
Design and deploy scalable, secure containerized applications using Azure Kubernetes Service and Azure Red Hat OpenShift.
Implement DevSecOps practices, including regular security audits, vulnerability mitigation, and Policy as Code for automated governance.
Manage identity and access management (IAM), including password rotations, key vault integration, and OAuth 2.0.
Develop API integrations and perform data extraction, transformation, and loading (ETL) to Databricks DB SQL.
Establish observability solutions and disaster recovery designs to ensure high availability and platform reliability.

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, implementing, and operating AI solutions built on large language models and agent-based workflows.
Experience with cloud platforms such as Azure, AWS, or GCP, including container orchestration and cloud operations.
Strong expertise in Azure cloud services, specifically Cognos Analytics on ARO, Azure Kubernetes Service, and PBI service on Azure Fabric.
Hands-on experience with Infrastructure as Code tools like Terraform and GitOps workflows such as ArgoCD.
Programming skills in Python or Scala, strong SQL skills, and experience with DevOps practices and CI/CD pipelines.

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