Data Platform and Engineering (DPE) is the team supporting Ford+ and Ford’s data superiority vision. This Senior Data Engineering role is within the Data Platform and Engineering - Platform Data Engineering Team.  The Platform Data Engineering Team is responsible for building and operationalizing data engineering, software engineering and architecture patterns and best practices for GDIA Teams.  The successful candidate will work with a variety of technical and business teams at Ford including GDIA and ITO to build, enable, transform and migrate data products, processes and applications.
 

Basic Qualifications:

Bachelor’s or Master’s degree in a Computer Science, Engineering or a related or related field of study 5+ Years - Ability to work effectively across organizations, product teams and business partners.5+ Years - Knowledge Agile (Scrum) Methodology, experience in writing user stories 5+ Years - Strong understating of Database concepts and experience with multiple database technologies – optimizing query and data processing performance.5+ Years - Full Stack Data Engineering Competency in a public cloud – Google, MS Azure, AWSCritical thinking skills to propose data solutions, test, and make them a reality. 5+ Years - Highly Proficient in SQL, Python, Java, Scala, or Go (or similar) - Experience programming engineering transformation in Python or a similar language. 5+ Years Demonstrated ability to lead data engineering projects, design sessions and deliverables to successful completion.Cloud native technologistDeep understanding of data service ecosystems including data warehousing, lakes, metadata, meshes, fabrics and AI/ML use cases.User experience advocacy through empathetic stakeholder relationship. Effective Communication both internally (with team members) and externally (with stakeholders)Knowledge of Data Warehouse concepts – experience with Data Warehouse/ ETL processes Strong process discipline and thorough understating of IT processes (ISP, Data Security).

Preferred Qualifications:

Excellent communication, collaboration and influence skills; ability to energize a team.Knowledge of data, software and architecture operations, data engineering and data management standards, governance and qualityHands on experience in Python using libraries like NumPy, Pandas, etc.Extensive knowledge and understanding of GCP offerings, bundled services, especially those associated with data operations Cloud Console, BigQuery, DataFlow, DataFusion, PubSub / Kafka, Looker Studio, VertexAIExperience with Teradata, Hadoop, Hive, Spark and other parts of legacy data platformExperience with recoding, re-developing and optimizing data operations, data science and analytical workflows and products. Data Governance concepts including GDPR (General Data Protection Regulation), CCPA (California Consumer Protection Act), PoLP and how these can impact technical architecture

 

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 8. 

This position is a range of salary grades 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.

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Responsibilities:

Interact with GDIA product lines and business partners to understand data engineering opportunities, tooling and needs.Collaborate with Data Engineering and Data Architecture to design and build templates, pipelines and data products including automation, transformation and curation using best practicesDevelop custom cloud solutions and pipelines with GCP native tools – Data Prep, Data Fusion, Data Flow, DBT and Big Query  Operationalize and automate data best practices:  quality, auditable, timeliness and complete Participate in design reviews to accelerate the business and ensure scalability Work with Data Engineering and Architecture and Data Platform Engineering to implement strategic solutionsAdvise and direct team members and business partners on Ford standards and processes.