Data Engineer Supervisor

Job Title: Manager, Connected Vehicle Data Team Department: Data Platform and Engineering Summary: We are seeking an experienced Manager to lead a team responsible for the development and maintenance of our Connected Vehicle enterprise data and data products. The ideal candidate will have a strong technical background in data and/or software engineering, along with proven leadership and management skills. This role requires the ability to design and code streaming solutions, prioritize team tasks, make timely decisions, run results-focused meetings, and guide the team to deliver high-quality results. The leader must be knowledgeable in data governance, customer consent, and security standards. Qualifications Required: Bachelor s degree in computer science, Information Technology, Information Systems, or Data Analytics. 5 years of progressive responsibilities in a complex streaming data environment. 5+ years experience leading a software/data engineering team. 5+ years of experience in Big Data Environments or expertise with Big Data tools. Expertise in Google Cloud Platform and Services for End-to-End Data Engineering Expert knowledge and hands on experience in DevOps and SDLC. Monitor and optimize cost and compute for processes in GCP technologies (e. g. , BigQuery, Dataflow, Cloud Run, DataProc). Manage and scale serverless applications and clusters, optimizing resource utilization, and implementing monitoring and logging strategies. Expertise in streaming technologies (Kafka, Pub/Sub) and OpenShift, managing high-throughput topics, message ordering, and ensuring data consistency and durability. Even better you may have : Expertise in other public cloud environments: Amazon Web Services, Microsoft Azure, etc. Hands on experience on AI Engineering 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. 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 customers 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.