Senior Analytics Platform Engineer - Cloud & AI (Hybrid)

General Motors Africa & Middle East

Austin (TX)

Hybrid

USD 119,000 - 175,000

Full time

5 days ago
Be an early applicant
Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Health insurance
GM vehicle discounts
Tuition assistance

Job summary

General Motors in Austin is seeking a Senior Systems Engineer to architect, build, and operate enterprise analytics platforms on Azure and AWS, delivering self‑serve BI and AI‑powered insights to thousands of users. You’ll own end‑to‑end platform engineering, including Terraform, GitOps, and CI/CD, with a focus on security and reliability.

Join a cross‑functional team shaping the future of data‑driven decision making at GM, leveraging Power BI, Tableau, and Cognos in a scalable, compliant

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.
  • 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, 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 programming skills in Python or Scala for API interaction and data processing.
  • Strong SQL skills and Databricks Lakehouse ecosystem familiarity.
  • Good knowledge of DevSecOps practices, security and compliance codification.
  • Experience with OAuth 2.0 and Microsoft Entra (Azure AD).
  • Knowledge of data governance and cost optimization.

Responsibilities

  • Build and evolve enterprise analytics platforms on Azure and AWS with a three‑plane architecture.
  • Develop AI‑enabled experiences and platform automation to support self‑serve analytics.
  • Implement Infrastructure as Code and CI/CD pipelines for platform components and applications.
  • Design secure, scalable, and reliable data pipelines and BI/analytics services.
  • Establish observability, DR, and high availability practices for platform reliability.
  • Participate in on‑call rotations and drive governance, security, and cost optimization.

Skills

Power BI
Tableau
Cognos
Python
SQL
Terraform
ArgoCD
GitOps
CI/CD
Databricks
Azure
AWS
AI/LLM integration
Security/compliance
Observability

Education

Bachelor’s degree in Engineering, Information Systems, Computer science or related field

Tools

Terraform
ArgoCD
Databricks
Power BI
Tableau
Cognos
Azure Kubernetes Service

Job description

General Motors in Austin is seeking a Senior Systems Engineer to architect, build, and operate enterprise analytics platforms on Azure and AWS, delivering self‑serve BI and AI‑powered insights to thousands of users. You’ll own end‑to‑end platform engineering, including Terraform, GitOps, and CI/CD, with a focus on security and reliability.

Join a cross‑functional team shaping the future of data‑driven decision making at GM, leveraging Power BI, Tableau, and Cognos in a scalable, compliant

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior Data Engineer, Telemetry Platform (Hybrid)
Senior Data Engineer, Telemetry Platform (Hybrid)

General Motors • Austin (TX)

Hybrid
USD 129,000 - 169,000
Health insurance
Dental insurance
Vision insurance
+7
Senior AI/Data Engineer — Cloud-Native Backend & Pipelines
Senior AI/Data Engineer — Cloud-Native Backend & Pipelines

General Motors • Austin (TX)

Hybrid
USD 120,000 - 180,000
Hybrid work model
Relocation benefits
Data Engineering Manager - Lakehouse & AI Platform
Data Engineering Manager - Lakehouse & AI Platform

General Motors • Warren (MI)

Hybrid
USD 180,000 - 230,000
Hybrid Data Engineer: Cloud ETL & Analytics
Hybrid Data Engineer: Cloud ETL & Analytics

re-zoo-me • Austin (TX), Northern (KY)

Hybrid
USD 85,000 - 131,000
Relocation benefits
Cloud Data Engineer — ETL & Data Platforms (Hybrid)
Cloud Data Engineer — ETL & Data Platforms (Hybrid)

General Motors • Austin (TX)

Hybrid
USD 85,000 - 131,000
Health benefits
Tuition assistance
GM vehicle discounts
+1
Senior Vehicle Data Engineer – Real-Time AI & Cloud
Senior Vehicle Data Engineer – Real-Time AI & Cloud

General Motors Africa & Middle East • Austin (TX)

Hybrid
USD 125,000 - 192,000
Data & AI Systems Engineer for Finance Insights
Data & AI Systems Engineer for Finance Insights

General Motors • Warren (MI)

Hybrid
USD 90,000 - 130,000
Hybrid work model
Relocation benefits
Entry-Level Software Engineer - Data & Cloud Platforms (Hybrid)
Entry-Level Software Engineer - Data & Cloud Platforms (Hybrid)

re-zoo-me • Austin (TX), Northern (KY)

Hybrid
USD 84,000 - 131,000
Health and wellbeing benefits
GM employee discounts
Hybrid Data Engineering Manager — AI-Driven Platform
Hybrid Data Engineering Manager — AI-Driven Platform

GM Financial • Arlington (TX)

Hybrid
USD 120,000 - 170,000
401K matching
Tuition assistance
Training
+2
Entry-Level Data & Cloud Software Engineer – Hybrid
Entry-Level Data & Cloud Software Engineer – Hybrid

General Motors • United States

Hybrid
USD 85,000 - 131,000
Health benefits
Retirement plan
Tuition assistance
+2