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Data Platform & Products Architect

Job in Dearborn, Wayne County, Michigan, 48120, USA
Listing for: Ford Motor Company
Full Time position
Listed on 2026-10-05
Job specializations:
  • Software Development
    Cloud Engineer - Software, DevOps, Software Architect
Salary/Wage Range or Industry Benchmark: 133000 - 251000 USD Yearly USD 133000.00 251000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Platform & Products Architect

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

Ford’s Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company’s vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You’ll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out.

Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.

In this position...

At Ford, we are transforming our data ecosystem to operate with a modern Data paradigm, treating data and platform capabilities as first-class, secure, and versioned products. As a Staff Data Platform and Products Architect, you will design the foundation that empowers data engineers, data scientists, and application developers to easily ingest, transform, and securely consume high-quality data.

In this high-impact, individual contributor role, you will lead the transition toward a product-centric data architecture. You will be responsible for defining the technical roadmap and establishing the architectural guardrails for our next-generation cloud infrastructure. This role requires an architect who can navigate complex technical infrastructure—including event-driven architectures, real-time streaming, API development, containerized microservices, schema-first governance, and automated Git Ops/CI/CD—while championing developer experience (Dev Ex) and keeping platform decisions aligned with strategic business priorities.

If you are passionate about building highly optimized developer platforms and driving technical excellence, this is the role for you.

What You'll Do...
  • Architect Scalable Platform Solutions:
    Design, build, and govern highly performant, distributed data solutions on GCP, leveraging Big Query, Dataproc, Dataflow, Big Table, Cloud Storage, Cloud Run, Pub/Sub, and Vertex AI to support global analytical, operational, and real-time streaming use cases.
  • Lead Cloud Data Integration & Streaming:
    Design and implement high-volume, event-driven streaming pipelines using GCP Pub/Sub, Apache Beam, and Apache Kafka. Build real-time stream processing systems to ingest and land high-volume events into optimized Big Query analytical layers and low-latency Big Table operational stores.
  • Design & Productize APIs:
    Architect and implement secure, versioned, and highly performant RESTful and gRPC APIs that expose platform services and data products to internal and external consumers. Define API contracts, versioning strategies, and authentication/authorization patterns (OAuth, mTLS) to enable reliable self-service access.
  • Enforce Schema-First Governance:
    Champion data contract standardizations and shift-left data quality practices. Define and enforce data schemas using Protobuf and centralized Schema Registries, ensuring robust boundaries, backward compatibility, and semantic alignment across distributed producer and consumer teams.
  • Build Reusable Platform Frameworks:
    Design opinionated, extensible frameworks and libraries that abstract underlying infrastructure complexity. Enable product engineering teams to easily bootstrap and scaffold production-ready data pipelines and microservices…
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