Manager, Data Engineering
Job title: Manager, Data Engineering in Dearborn, MI at Ford
Company: Ford
Job description: Job Description: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?The Data Product Management Team is responsible for:
- Contributing to the development, implementation, and lifecycle management of high-quality reusable foundational data products, bringing in strategic sources for enterprise needs, and data capabilities
- Prioritize data engineering demand based on business impact, data-driven insights, and evolving enterprise demand
- Running the Data Product Management Process daily, quarterly
- Lead and mentor a high-performing team of local and remote engineers.
- Prioritize team workload, allocate tasks effectively, and ensure team members have the resources to succeed.
- Provide technical expertise and guidance to the team. Evaluate and mentor adherence to coding standards, best practices, and architectural guidelines.
- Oversee the design, development, maintenance, scalability, reliability, and performance of the connected vehicle data platform pipelines and architecture. Contribute to the long-term strategic direction of the Connected Vehicle Data Platform with a focus on enterprise use.
- Communicate decisions effectively and transparently to internal and external customers.
- Accurately and routinely track all prioritized work in JIRA to support both financial delivery tracking
- Enforce and ensure data quality, data governance, and security standards
- Lead implementation and delivery of various business customer requests and logic into the data assets with optimized design and code development.
- Identify and consolidate common tasks across teams to improve efficiency and reduce redundancy
- Stay updated on industry trends and emerging technologies to inform technical decisions
- Bachelor’s degree in Computer Science, Information Technology, Information Systems, Data Analytics or related field or a combination of education and equivalent work experience
- 5+ years of progressive responsibilities in a complex streaming data environment preferably with streaming technologies (Kafka, Pub/Sub) and OpenShift, managing high-throughput topics, message ordering, and ensuring data consistency and durability skills
- 5+ years' experience leading a software/data engineering team including hands on experience in DevOps and SDLC.
- 5+ years of experience in Big Data Environments or expertise with Big Data tools and skills that may include monitoring and optimizing cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).
- 2+ years of experience in Google Cloud Platform and Services for End-to-End Data Engineering
- Master’s Degree in Computer Science, Information Technology, Information Systems, Data Analytics
- Expertise in other public cloud environments: Amazon Web Services, Microsoft Azure, etc.
- Hands on experience on AI Engineering
- Expertise in streaming technologies (Kafka, Pub/Sub) and OpenShift, managing high-throughput topics, message ordering, and ensuring data consistency and durability.
- Expert experience in DevOps and SDLC.
- Manage and scale serverless applications and clusters, optimizing resource utilization, and implementing monitoring and logging strategies
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare 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.
Expected salary:
Location: Dearborn, MI
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