Senior System Integration Engineer – Enterprise Transformation

General Motors

. Design, build, and scale enterprise integrations and data pipelines across GM .

Posted 10/7/2026full-timeUnited StatesSenior💰 $202,000 - $310,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building enterprise integrations and data pipelines using Google Cloud products, with a strong focus on API management, event-driven architecture, and security compliance. Proven ability to collaborate with cross-functional teams and provide technical leadership in complex corporate environments.

Highest-signal resume keywords

Google Cloud Integration ProductsEnterprise Application IntegrationREST/SOAP APIsPython ProgrammingGoogle Cloud Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Integration EngineeringEnterprise PipelinesData MappingMiddleware SolutionsEvent-Driven ArchitectureCI/CD PipelinesAutomated TestingData ValidationSecurity PoliciesIdentity Frameworks

Soft Skills

Strong Communication SkillsCollaboration with Stakeholders

Tools & Technologies

Apigee API ManagementGoogle Cloud Application IntegrationPub/SubCloud FunctionsWorkdayServiceNowGoogle Workspace APIsGoogle Apps ScriptDatabricksBigQuery

Certifications & Qualifications

Professional Cloud ArchitectProfessional Cloud Integration Engineer

Industry Keywords

Data PrivacyILMRegulated Data ControlsMicrosoft 365 MigrationCorporate Data Retention

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonServiceNowSOAP

About the role

Key responsibilities & impact

Design, build, and scale enterprise integrations and data pipelines across GM
Connect Google Workspace, SaaS platforms, enterprise AI tools, and GM core business systems
Establish reusable GCP-native integration templates, accelerators, and reference implementations
Align integration architectures with enterprise data standards, identity guidelines, and security policies
Secure workflows processing regulated or sensitive data with Security, Privacy, Identity, and ILM teams
Evaluate integration requests and recommend SaaS configuration, GCP-native services, or custom engineering approaches
Design, build, and maintain APIs, webhooks, and middleware pipelines connecting GCP with Workday, ServiceNow, and internal systems
Define data mappings, transformation logic, exception handling, and monitoring models
Modernize legacy and Microsoft-dependent interfaces into event-driven Google-aligned patterns
Build workflows orchestrating data movement and actions across HR, IT, and enterprise ecosystems
Design coexistence approaches for Microsoft, GCP, and internal environments during migration waves
Coordinate data cutover sequencing, permissions validation, metadata mapping, and post-deployment stabilization
Partner with Product Leads and TPMs to embed GCP-native integration capabilities into operational processes
Provide technical leadership through design reviews, architecture guidance, and engineering best practices
Deliver technical designs, dependency maps, runbooks, and handover materials for long-term sustainment

Requirements

What you’ll need

10+ years of experience in integration engineering, platform architecture, enterprise application integration, or software engineering within complex corporate environments
Hands-on experience architecting and building enterprise pipelines using Google Cloud integration products, including Apigee API Management, Google Cloud Application Integration, Pub/Sub, and Cloud Functions
Experience mapping dependencies across SaaS applications, data layers, identity services, and business processes in large enterprise environments
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience
Deep technical knowledge integrating GCP with Workday and ServiceNow using REST/SOAP APIs, web services, and integration hubs
Production-level proficiency in Python and scripting or automation frameworks
Extensive experience with REST APIs, webhooks, middleware solutions, and event-driven architecture patterns
Strong understanding of Git-based version control, CI/CD pipelines, and debugging distributed integration issues across hybrid environments
Knowledge of enterprise authentication, authorization, and identity frameworks, including GCP IAM, OAuth2, SAML, and OIDC
Experience collaborating with product managers, engineering teams, TPMs, security leads, and business stakeholders
Strong written and verbal communication skills
Must not require GM immigration sponsorship now or in the future
Active professional-level Google Cloud certification, such as Professional Cloud Architect or Professional Cloud Integration Engineer, preferred
Experience supporting Microsoft 365 to Google Workspace migration or platform coexistence programs preferred
Familiarity with Google Workspace administration, Google Workspace APIs, Google Apps Script, and AppSheet preferred
Experience with Gemini Enterprise, BigQuery, Dataflow, Glean, Slack, and Databricks preferred
Familiarity with corporate data retention, ILM, privacy frameworks, and regulated data controls preferred
Experience with automated testing, cutover planning, data validation, hypercare support, and sustainment models preferred

Benefits

Comp & perks

Relocation benefits may be available
Incentive pay program with payouts based on company performance, job level, and individual performance
Total Rewards benefits supporting well-being at work and at home
Reasonable accommodations for applicants with disabilities