Lead System Integration Engineer - Enterprise Transformation

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

Job Description

The Role

As a Lead System Integration Engineer - Enterprise Transformation, you will design, build, and scale enterprise integrations and data pipelines that modernize how systems work together across General Motors. From the software and core IT side of the transformation, you will focus on connecting Google Workspace, SaaS platforms, enterprise AI tools, and GM's core business systems through secure, reusable, and scalable integration patterns.

This role is a strong fit for an experienced engineer who can independently deliver complex integration solutions, translate business and technical requirements into practical system designs, and build supportable, production-ready pipelines that align with enterprise standards. You will partner closely with product, engineering, technical program management, security, and business stakeholders to enable reliable data flow, workflow continuity, and platform interoperability across GM, while contributing reusable patterns that can be adopted broadly across the enterprise.

What You'll Do

Strategic architecture and standards alignment

• Build reusable services, accelerators, and reference integration templates so transformation teams can solve repeatable connectivity needs more consistently.
• Apply enterprise platform guardrails by aligning integration designs with data standards, identity guidelines, and security policies.
• Partner with Security, Privacy, Identity, Information Lifecycle Management (ILM), and Retention teams to support workflows that process sensitive or regulated data.
• Evaluate incoming integration requests and recommend the appropriate technical path using approved platform capabilities, configuration options, or custom engineering.

Integration delivery and pipeline engineering

• Design, build, and maintain robust, resilient, and observable integrations using APIs, webhooks, scripts, connectors, and middleware services.
• Define source-to-destination data mappings, transformation logic, exception-handling patterns, and monitoring approaches that support reliable day-to-day operations.
• Modernize Microsoft-dependent workflows, legacy interfaces, and older automations into scalable, Google-aligned integration patterns.
• Connect Google Workspace with core GM platforms, including identity services, reporting environments, asset repositories, and approved AI platforms.
• Support end-to-end workflows that move data and trigger actions across enterprise systems.

Migration and coexistence engineering

• Design and support coexistence models that allow Microsoft, Google, and internal platforms to interoperate effectively during phased migration waves.
• Preserve workflow continuity where historical data, inactive-user content, or core systems must remain on legacy platforms during transition.
• Support cutover sequencing, permissions validation, metadata mapping, and post-deployment stabilization to reduce operational disruption.

Transformation pod engagement and sustainment

• Partner directly with transformation Product Leads and Technical Program Managers within business units to integrate Google capabilities into real-world operational processes.
• Provide technical leadership through design reviews, implementation guidance, and engineering best practices across the program.
• Author technical designs, dependency maps, operational runbooks, and handover materials that support long-term sustainment of integrated solutions.
• Support validation, troubleshooting, and hypercare activities during rollout and early adoption phases.

Your Skills & Abilities (Required Qualifications)

Core experience and education

• 7+ years of hands-on experience in integration engineering, software engineering, platform architecture, or enterprise application integration within complex enterprise environments.
• Strong systems-thinking capability, with proven experience mapping dependencies across applications, data layers, identity services, and business processes.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience.

Integration and software engineering proficiency

• Strong production-level proficiency in Python and core scripting or automation frameworks.
• Extensive experience building and supporting enterprise-grade integrations using REST APIs, webhooks, middleware solutions, and ETL or data transformation logic.
• Strong understanding of cloud-based integration patterns, modern application architecture, Git-based version control, and debugging integration issues across multi-system environments.
• Experience designing secure, supportable integrations across SaaS platforms and internal enterprise systems.

Security, identity, and cross-functional delivery

• Strong foundational knowledge of enterprise authentication, authorization, identity integration, and access-control frameworks.
• Proven history of working effectively with product managers, engineering teams, TPMs, security leads, and business stakeh