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# Systems Engineer - Business Analytics Platforms

- **Company:** General Motors
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $119,200.0 - $175,450.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Systems Engineering, Microsoft Azure, Cloud Computing, Cyber Security, Information Systems, Computer Programming, Databases, Continuous Delivery, Continuous Integration, Data Governance, Extract Transform Load (ETL), Data Manipulation Languages, Data Mining, Data Security, Database Queries, DevOps, Disaster Recovery, Monitoring of Systems, IBM Cognos Business Intelligence, Identity and Access Management, JSON, Python (Programming Language), PostgreSQL, Metadata, Microsoft Software, Microsoft SQL Server, Language Modeling, OAuth, Oracle Databases, Oracle (Applications), Performance Tuning, Systems Development Life Cycle, Red Hat Enterprise Linux, Power BI, Azure Active Directory, Prometheus, Information Technology Security Auditing, Software Deployment, SQL Databases, Tableau (Software), YAML, Policy as Code, Data Processing, Scripting, Google Cloud, Cloud Platform System, Microsoft Power Automate, System Availability, Large Language Models, Grafana, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Slack, Azure AKS, Data Management, Terraform, Devsecops, Databricks, Programming Languages
- **Published:** August 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-systems-engineer-business-analytics-platforms-austin-tx--8ac31193-1339-42a0-9e78-7da83ba37695

## About the Role

* 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, Administrative Management, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Best Practices, Business Analysis, Business Intelligence, Change Control, Cloud Computing, Computer Programming, Computer Science, Computer Security, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Customer Relations, Customer Service Operations, Data Formats, Data Modeling, Data Processing, Database Extract Transform and Load (ETL), Database Technology, DevOps, Disaster Recovery, Ecosystems, GCP (Good Clinical Practices), Government, High Availability, IBM Cognos, Identity Data Management, Incentive Programs, Industry Standards, Information Technology & Information Systems, Information/Data Security (InfoSec), JSON, Metadata, Microsoft Product Family, Microsoft SQL Server, Microsoft Windows Azure, Modeling Languages, OAuth, On Call, Operational Audit, Oracle Database, Performance
Tuning/Optimization, Policy Implementation, PostgreSQL, Power BI, Problem Solving Skills, Process Improvement, Product Development, Python Programming/Scripting Language, Red Hat Linux Operating System, Regulations, Regulatory Compliance, SQL (Structured Query Language), Scala Programming Language, Scalable System Development, Scripting (Scripting Languages), Security Auditing, Security Compliance, Slack, Standards Development, Systems Administration/Management, Systems Engineering, Tableau, Team Player

## Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center or GM Global Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days]., * 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


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