Lead System Integration Engineer - Enterprise Transformation at General Motors | Austin, TX, US | Rezi

Lead System Integration Engineer - Enterprise Transformation at General Motors

Lead System Integration Engineer - Enterprise Transformation

General Motors · Austin, TX, US

2 weeks ago

Lead System Integration Engineer - Enterprise Transformation

General Motors · Austin, TX, US

16 days ago
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About 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. 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 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.

Responsibilities

  • Build reusable services, accelerators, and reference integration templates.
  • 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.
  • 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.
  • 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.
  • Design and support coexistence models that allow Microsoft, Google, and internal platforms to interoperate effectively.
  • 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.
  • Partner directly with transformation Product Leads and Technical Program Managers within business units to integrate Google capabilities into operational processes.
  • Provide technical leadership through design reviews, implementation guidance, and engineering best practices.
  • Author technical designs, dependency maps, operational runbooks, and handover materials.
  • Support validation, troubleshooting, and hypercare activities during rollout and early adoption phases.

Requirements

  • 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.
  • 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.
  • 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.
  • 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.

Skills

  • Python
  • REST APIs
  • Webhooks
  • Middleware solutions
  • ETL
  • Data transformation logic
  • Cloud-based integration patterns
  • Modern application architecture
  • Git-based version control
  • Debugging integration issues
  • SaaS platforms
  • Enterprise systems
  • Enterprise authentication
  • Authorization
  • Identity integration
  • Access-control frameworks
  • Google Workspace administration
  • Google Workspace APIs
  • Google Apps Script
  • AppSheet
  • Gemini Enterprise
  • Glean
  • AskGM
  • Databricks
  • Corporate data retention
  • ILM
  • Privacy frameworks
  • Regulated data controls
  • Automated testing
  • Cutover planning
  • Data validation
  • Hypercare support
  • Long-term sustainment models

Location

  • California

Work Type

  • Full-time

Experience Level

  • 7+ years of hands-on experience

Education Level

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience.

Salary/Compensations

  • $202k–$310k per year

Benefits

  • Relocation benefits
  • Incentive pay program
  • GM supports a rewarding career that rewards you personally

About the Company

  • 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.
  • 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.

Equal Opportunity

  • General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.
  • 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.
  • We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities.
  • Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment.
  • General Motors offers opportunities to all job seekers including individuals with disabilities.
  • If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580.