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# Software Engineer, Platform Systems (SDV/FNV)

- **Company:** Ford Motor Company
- **Location:** Dearborn, MI, United States
- **Contract:** Permanent contract
- **Skills:** Batch Processing, BigQuery, Computer Engineering, Data Governance, Data Security, Data Systems, Data Flow Control, Github, Service-Oriented Architecture, Software Engineering, Google Cloud, Data Ingestion, Build Management, Containerization, Google Cloud Functions, Data Analytics, Data Management, Software Version Control, Data Pipelines, Microservices
- **Published:** August 12, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/software-engineer-platform-systems-sdv-fnv-dearborn-mi-usa-58911935

## About the Role

Computer * Implement data governance, access controls, and security best practices in the cloud * Monitor and optimize performance, scalability, and efficiency of data pipelines and storage * Collaborate with data architects, engineers, and cross-functional teams to define best practices * Automate data platform processes to improve reliability and reduce manual work Tasks * Bachelor's degree or foreign equivalent in Software Engineering, Electrical Engineering, Computer Engineering, or related field * 3 years of experience in the listed role or related occupation * 3 years of experience with GitHub for source code management * 1 year of experience with each: full-stack integration, container technologies, automation processes Key requirements * Immediate medical, dental, and prescription drug coverage * Flexible family care and parental leave * Vehicle discount program for employees and family * Tuition assistance * Paid time off and holidays * Paid time off for community service a

* volunteer opportunities

## Description

Experteer Overview In this role you design and build scalable data platforms and microservices to support real-time and batch processing on Google Cloud. You work within Ford's Product Development mindset, collaborating with data engineers and software teams to deliver reliable, data-driven solutions. You'll implement SOA, secure data governance, and optimize performance to enable analytics at scale. This hybrid role combines development with cross-functional teamwork to advance Ford's smart mobility initiatives. Compensation / Benefits * Design and build scalable data pipelines and microservices for real-time and batch processing on GCP * Design and implement SOA and microservices architectures for modular data solutions * Full-stack integration to connect front-end and back-end components for robust data access * Lead data ingestion and integration from diverse sources for analytics-ready platforms * Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions) to manage data platforms * Implement data governance, access controls, and security best practices in the cloud * Monitor and optimize performance, scalability, and efficiency of data pipelines and storage * Collaborate with data architects, engineers, and cross-functional teams to define best practices * Automate data platform processes to improve reliability and reduce manual work Tasks * Bachelor's degree or foreign equivalent in Software Engineering, Electrical Engineering, Computer Engineering, or related field * 3 years of experience in the listed role or related occupation * 3 years of experience with GitHub for source code management * 1 year of experience with each: full-stack integration, container technologies, automation processes Key requirements * Immediate medical, dental, and prescription drug coverage * Flexible family care and parental leave * Vehicle discount program for employees and family * Tuition assistance * Paid time off and holidays * Paid time off for community service and volunteer opportunities


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