We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? 

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.

Materials Management Platform (MMP) is a multi-year transformation initiative aimed at transforming Ford's Materials Requirement Planning & Inventory Management capabilities. This is part of a larger Industrial Systems IT Transformation effort. This position responsibility is to design & deploy Data Centric Architecture in GCP for Materials Management platform which would get / give data from multiple applications modern & Legacy in Product Development, Manufacturing, Finance, Purchasing, N-Tier Supply Chain, Supplier Collaboration

Bachelor’s degree or equivalent work experience (minimum of 12 years), or an associate degree with a minimum of 6 years of equivalent work experience At least 5 years of experience in leading/implementing GCP data projects, preferrable implementing complete data centric model Automotive experience is preferred   Support in an onshore/offshore model is preferred   Excellent at problem solving and prevention.  Knowledge and practical experience of agile delivery 

Even better, you may have.. 

Experience in IDOC processing, APIs and SAP data migration projects. Experience working in SAP S4 Hana environment

 

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

 

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, and prescription drug coverage

• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more

• Vehicle discount program for employees and family members, and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

• Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: Benefit Summary 

This position is a salary grade 7-8. 

This position is a range of salary grades 7-8.

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 

#LI-Hybrid

Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Storage Transfer Service, Cloud Data Fusion, Pub/Sub, Data flow, Cloud compression, Cloud scheduler, Gutil, FTP/SFTP, Dataproc, BigTable etc.  Build ETL pipelines to ingest the data from heterogeneous sources into our system  Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets Deploy and manage databases, both SQL and NoSQL, such as Bigtable, Firestore, or Cloud SQL, based on project requirements Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs. Implement security measures and data governance policies to ensure the integrity and confidentiality of data. Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure. Work with data scientists and analysts to integrate machine learning models into data pipelines for predictive analytics. Troubleshoot and resolve issues related to data processing, storage, and retrieval. Stay updated on industry best practices and emerging technologies within the GCP ecosystem for continuous improvement of data engineering processes. Collaborate with stakeholders to gather and define data requirements, ensuring alignment with business objectives. Design and implement scalable, fault-tolerant solutions for data ingestion, processing, and storage. Develop and maintain documentation for data engineering processes, ensuring knowledge transfer and ease of system maintenance. Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures. Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments. Collaborate with DevOps teams to automate infrastructure provisioning and management tasks. Optimize and tune database queries and indexing strategies for improved query performance. Stay abreast of advancements in GCP services and incorporate relevant technologies into data engineering solutions. Provide mentorship and guidance to junior team members, fostering a collaborative and knowledge-sharing environment. Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems.