Manager, Data Engineering
United States
Ford Motor Company
Since 1903, we have helped to build a better world for the people and communities that we serve. Welcome to Ford Motor Company.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?
As a Manager of Central Data Engineering, you will be at the heart of our data ecosystem, leading the team that builds and maintains our Central Data Platform. You and your team will be responsible for designing, developing, and maintaining the foundational data assets and services that empower engineering teams across the organization. You'll also play a pivotal role in leading the Data Engineering Center of Excellence (COE), a crucial platform for providing best practices, build guidelines, and fostering discussion to help the broader enterprise build robust data solutions. You'll be a champion for data standardization, scalability, and security, ensuring we have a robust, compliant, and future-proof data infrastructure.
This is a fantastic opportunity for an experienced data or software engineering manager to make a significant impact. You'll be responsible for guiding the team in designing effective data landing and curation solutions, prioritizing tasks, making timely decisions, and ensuring the delivery of high-quality results. Your expertise in data governance, customer consent, and security standards will be crucial in ensuring we operate responsibly and ethically with data.
What you'll do...
- Lead, mentor, and develop a high-performing team of local and remote Central Data Engineers, fostering a culture of collaboration, innovation, and continuous improvement.
- Strategically prioritize and manage team workloads, ensuring effective task allocation and resource availability to support team goals.
- Provide expert technical guidance and mentorship, ensuring adherence to best practices, coding standards, and architectural guidelines.
- Oversee the design, development, maintenance, scalability, reliability, and performance of data platform pipelines, aligning them with business needs and strategic objectives.
- Contribute to the long-term strategic direction of the Data Platform by proactively identifying opportunities for innovation and improvement.
- Champion data quality, governance, and security standards, ensuring compliance and safeguarding sensitive data assets.
- Enhance efficiency and reduce redundancy by consolidating common tasks across teams.
- Effectively communicate decisions to stakeholders, building strong relationships and ensuring alignment on data initiatives.
- Maintain awareness of industry trends and emerging technologies to inform technical decisions.
- Lead the implementation of customer requests into data assets, ensuring optimized design and code development.
- Direct the Data Engineering Center of Excellence (COE), fostering a vibrant community of practice and promoting robust data solutions.
- Guide the team in delivering scalable, robust data solutions and contribute hands-on to critical projects, including design and code reviews.
- Lead technical decisions that drive data innovation and resilience.
- Demonstrate full stack cloud data engineering expertise, covering automation, versioning, ingestion, integration, transformation, optimization, and data modeling.
- Engage in agile planning, including scope, story, and feature development, as well as roadblock resolution.
- Design solutions for cost and consumption optimization, scalability, and performance.
- Collaborate with Data Architecture and stakeholders on solution design, data consolidation, retention, purpose of use, compliance, and audit requirements.
You'll have...
- Bachelor’s degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field OR a combination of education and experience.
- 5+ years of experience with data in Industrial Systems such as Engineering, Manufacturing, Supply Chain, Finance, Purchasing, or HR.
- 5+ years of experience in complex data environments, demonstrating increased responsibilities and achievements.
- 3+ years of experience in leading software or data engineering teams, with a focus on team development and project success.
- 3+ years of experience in Big Data environments or expertise with Big Data tools, including data processing frameworks and data modeling.
- In-depth knowledge and practical experience with Google Cloud Platform services.
- Proven experience in monitoring and optimizing costs and compute resources in GCP technologies like BigQuery, Dataflow, Cloud Run, and DataProc.
Even better, you may have…
- Experience in managing and scaling serverless applications and clusters, focusing on resource optimization and robust monitoring and logging strategies.
- Proficiency in streaming technologies such as Kafka and Pub/Sub, along with experience in OpenShift.
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, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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:
fordcareers.co/LL6HTHD
SOUTHEAST MI RESIDENTS: Please note, this job is posted as remote unless the selected candidate lives within 50 miles of Dearborn, MI. In this case we request the candidate to be on-site 1-2 days a week.
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-Remote
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Big Data BigQuery Computer Science Data Analytics Dataflow Data governance Dataproc Data quality Engineering Finance GCP Google Cloud Industrial Kafka Pipelines Security Streaming
Perks/benefits: Career development Fertility benefits Flex hours Flex vacation Health care Medical leave Parental leave
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.