Google Cloud Data Platform Principal Eng

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.The people of Ford Motor Credit Company have a 60-year commitment to helping put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to five thousand dealers and more than four million customers in over 100 countries around the world. If you’re customer-focused, driven and seeking the opportunity to experience exciting challenges and growth, look no further.Ford Motor Credit Company is modernizing enterprise Data Platform to unlock and unleash the power of data for improving customer experiences, regulatory compliance & operational efficiencies. We are rearchitecting on-prem legacy Data warehouse platforms and moving to a Unified, Modern, Scalable & Secure Data Platform on Google Cloud.Looking for Principal Data Engineer to design, build and maintain Engineering excellence for our Google cloud data platform – from data pipelines, orchestration layer, advanced analytics and AI/ML ops. This role will provide technical guidance to data engineering and AI/ML engineering teams, for applying engineering best practices using Google cloud native tech stack ​​​​​​​Key responsibilities

This role will be responsible for providing technical leadership in developing reusable engineering patterns for data pipelines, micro services, analytics and AI/ML engineering solutions

Will provide guidance to distributed google cloud data platform teams of engineers across Ford Credit on building reliable data solutions.

This role will be the central authority & go to person for engineering best practices, reusable patterns and overall engineering excellence

Will work with a small team and cross-functional partners to facilitate cloud migration, solve difficult data solutioning challenges data pipelines in Ford’s Data Factory, enabling the delivery of data and analytics solutions

Will help us develop & mature Data Engineering talent through inspirational technical and professional leadership

Role model “software and data first” mindset to drive internal disruption to accelerate value creation through use of modern, cloud native tech stack

Works closely with Engineering, Architecture & enterprise data factory teams driving maximum commonality and re-use of data solutions across the enterprise

Critical Success Factors

Deep knowledge of and passion for Data Engineering and discipline to ensure quality, reliability and customer satisfaction

Ability to work across teams to design and implement right reusable engineering patterns for data solutions, and continuously improve existing ones

Drive for innovation, simplification and operational excellence.

Ability to become a trusted advisor to Data Engineering, architecture, analytics and insights teams.

Must Have Skills

Google Cloud certified profession Cloud Data Engineer

5-8 years of experience in technical delivery of Data Warehouse Cloud Solutions for large companies, and business adoption of these platforms to build insights

Master’s degree in- Computer science, Computer engineering, Data science or related field

5+ years experience leading technical teams, delivery complex projects using Agile methodologies, and product support of those solutions

Solid knowledge of cloud data architecture, data modelling principles, DevOps, SRE, security and controls

Knowledge of most of the following:

Orchestration of data pipelines (e.g. Airflow, DBT, Dataform).

Batch data pipelines (e.g. Spark, Dataflow).

Streaming data pipelines (e.g. Kafka, Pub/Sub, Beam).

Data warehousing techniques (e.g. data modelling, ETL/ELT).

Data Catalog and Lineage

DLP and Classification of data

AI/ML engineering & Ops (Vertex AI, Auto ML)

Hands-on work in cloud migration and data and analytics cloud native tools, Google Cloud Platform experience preferred but not required

Quick learner, self-starter, energetic leaders with drive to deliver results

Empathy and care for customers and teams, as a leader guide teams on advancement of skills, objective setting and performance assessment

Good to Have Skills

Hands on Engineer, ready to lead by example.

Very strong leadership, communication, organizing and problem-solving skills

Ability to negotiate with and influence stakeholders & drive forward strategic data transformation

What you’ll receive in return:As part of the Ford family, you will enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings and stock investment plans, incentive compensation, and much more. You will also experience exciting opportunities for professional and personal growth and recognition. If you have what it takes to help us redefine the future of mobility, we would love to have you join us. 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. Visa sponsorship is not available for this position.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.LL5 Benefits Overview (https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2022-benefits-and-comp-LL5-sal-plan-1.pdf)At Ford, the health and safety of our employees is our top priority. Vaccination has been proven to play a critical role in combating COVID-19. As a result, Ford has made the decision to require U.S. salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption.Requisition ID : 9188