Platform Engineer

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

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.

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. 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.

Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the aforementioned worksite. Analyze and manipulate large datasets supporting the enterprise by activating data assets to support Enabling Platforms and Analytics in the Google Cloud Platform (GCP). Design the transformation and modernization on GCP, as well as landing data from source applications to GCP.

Design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on Google Cloud Platform. Work in collaborative environment including pairing and mobbing with other cross-functional engineers. Work on a small agile team to deliver working, tested software. Work effectively with fellow data engineers, product owners, data champions and other technical experts. Develop exceptional Analytics data products using streaming, batch ingestion patterns in the Google Cloud Platform with solid Data warehouse principles.

Design and deploy a pipeline with automated data lineage. Identify, develop, evaluate and summarize Proof of Concepts to prove solutions. Test and compare competing solutions and report out a point of view on the best solution. Integration between GCP Data Catalog and Informatica EDC. Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services.

What you'll be able to do:

Platform Engineer - positions offered by Ford Motor Credit Company LLC (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the aforementioned worksite. Analyze and manipulate large datasets supporting the enterprise by activating data assets to support Enabling Platforms and Analytics in the Google Cloud Platform (GCP).

Design the transformation and modernization on GCP, as well as landing data from source applications to GCP.

Design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on Google Cloud Platform. Work in collaborative environment including pairing and mobbing with other cross-functional engineers. Work on a small agile team to deliver working, tested software. Work effectively with fellow data engineers, product owners, data champions and other technical experts. Develop exceptional Analytics data products using streaming, batch ingestion patterns in the Google Cloud Platform with solid Data warehouse principles.

Design and deploy a pipeline with automated data lineage. Identify, develop, evaluate and summarize Proof of Concepts to prove solutions. Test and compare competing solutions and report out a point of view on the best solution. Integration between GCP Data Catalog and Informatica EDC. Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services.