Senior Enterprise Systems Integration Architect

General Motors; Warren (MI); On-site; USD 130,000 - 170,000; Full time

Job summary

General Motors is seeking a Lead System Integration Engineer - Enterprise Transformation to design, build, and scale enterprise integrations and data pipelines across GM systems. You will connect Google Workspace, SaaS platforms, AI tools, and GM core business systems using secure, reusable patterns.

The role requires translating business and technical requirements into practical designs, delivering production-ready pipelines, and partnering with product, security, and TPM teams to enable

Qualifications

• 7+ years of hands-on experience in integration engineering or enterprise application integration.
• Strong systems-thinking with experience mapping dependencies across applications, data layers, identity services and business processes.
• Bachelor's degree in CS/IT/Engineering or equivalent practical experience.

Responsibilities

• Design, build, and maintain robust, observable integrations using APIs, webhooks, scripts, connectors, and middleware services.
• Define source-to-destination data mappings and transformation logic for reliable operations.
• Modernize legacy workflows into scalable, Google-aligned integration patterns.
• Connect Google Workspace with GM platforms and core systems to enable platform interoperability.
• Support end-to-end workflows that move data and trigger actions across enterprise systems.
• Provide technical leadership through design reviews and runbooks for long-term sustainment.

Skills

Python

REST APIs

Webhooks

ETL

Data integration

SaaS platforms

Cloud-based integration

Security & identity

Git

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

Git

ETL tools

Middleware platforms

Job description

General Motors is seeking a Lead System Integration Engineer - Enterprise Transformation to design, build, and scale enterprise integrations and data pipelines across GM systems. You will connect Google Workspace, SaaS platforms, AI tools, and GM core business systems using secure, reusable patterns.

The role requires translating business and technical requirements into practical designs, delivering production-ready pipelines, and partnering with product, security, and TPM teams to enable