Lead System Integration Engineer - Enterprise Transformation

General Motors; Mountain View (CA); On-site; USD 202,000 - 310,000; Full time

Benefits offered by this job

Relocation benefits

Job summary

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

The role demands hands-on delivery of complex integration solutions, translating requirements into practical designs and production-ready pipelines aligned with enterprise standards, partnering with product, security, and business stakeholders

Qualifications

• 7+ years of hands-on experience in integration engineering or enterprise integration.
• Bachelor’s degree in a related technical field or equivalent practical experience.
• Experience with REST APIs, webhooks, middleware, and ETL/data transformation.

Responsibilities

• Design, build, and maintain robust, observable integrations using APIs, webhooks, and middleware.
• Define data mappings, transformation logic, and monitoring for reliable operations.
• Modernize legacy workflows into scalable, Google-aligned integration patterns.
• Connect Google Workspace with GM platforms and AI tools.
• Support end-to-end data movement across enterprise systems.

Skills

Python

Scripting

REST APIs

Webhooks

Middleware

ETL

Data transformation

Cloud integration

Git

Security basics

Communication

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

Tools

Google Workspace APIs

AppSheet

Databricks

Git

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.

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 stakeholders.
• Strong written and verbal communication skills, including the ability to explain technical tradeoffs, architecture risks, and engineering decisions to non-technical partners.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Direct experience supporting large-scale Microsoft 365 to Google Workspace migration or coexistence programs.
• Familiarity with Google Workspace administration, Google Workspace APIs, Google Apps Script, and AppSheet.
• Experience connecting enterprise workflows to modern data and AI ecosystems such as Gemini Enterprise, Glean, AskGM, and Databricks.
• Familiarity with corporate data retention, ILM, privacy frameworks, and regulated data controls in large-scale enterprise environments.
• Experience supporting automated testing, cutover planning, data validation, hypercare support, and long-term sustainment models.

This job may be eligible for relocation benefits.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

For a California-only role , use:

Compensation: The compensation information is a good-faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

Salary Range: The salary range for this role in California is $202k–$310k per year. The actual base salary offered will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we’re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations

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