Data Engineer Supervisor/Manager

Job Description 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. 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. 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