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 possess a robust technical background in data and/or software engineering, coupled 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 successful 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.
- Ability to monitor and optimize cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).
- Experience managing and scaling 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 in AI Engineering.

Responsibilities

- Lead and mentor a high-performing team of local and remote engineers.
- Prioritize team workload, effectively allocate tasks, and ensure team members have the necessary 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 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.

📌 Data Engineer Supervisor (Chennai)
🏢 Ford
📍 Chennai