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.

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