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Summary:
- Ford is a global leader in mobility and aims to change the way the world moves.
- The company focuses on smart mobility using data, metrics, and analytics as part of its Global Data Insight & Analytics team.
- The team helps Ford’s decision-makers act in meaningful ways through evidence-based, data-driven insights.
- The role of Manager, Connected Vehicle Data Platform is focused on leading the development and maintenance of the connected vehicle data platform.
- The ideal candidate will have a technical background in data and/or software engineering, along with proven leadership and management experience.
Responsibilities:
- 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.
- Enforce and ensure data quality, data governance, and security standards.
- Collaborate to identify and consolidate common tasks across teams to improve efficiency and reduce redundancy.
- Communicate decisions effectively and transparently to internal and external customers.
- Stay updated on industry trends and emerging technologies to inform technical decisions.
- Lead to implement various business customers’ requests and logics into the data assets with optimized design and code development.
Requirements:
- Bachelor Degree in Computer Science, Information Technology, Information Systems, or Data Analytics, or a combination of education and experience.
- 10+ years of progressive responsibilities in a complex streaming data environment.
- Expertise in streaming technologies (Kafka, Pub/Sub) and OpenShift, managing high-throughput topics, message ordering, and ensuring data consistency and durability.
- 5+ years’ experience leading a software/data engineering team.
- Expert knowledge and hands-on experience in DevOps and SDLC.
- Experience in SQL and Python/Java.
- 5+ years of experience in Big Data Environments or expertise with Big Data tools.
- Monitor and optimize cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).
- Expertise in one of the following public cloud environments: Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
- Manage and scale serverless applications and clusters, optimizing resource utilization, and implementing monitoring and logging strategies.
Benefits:
- 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.
