Data Engineering Manager

Short Description

We are seeking an experienced candidate to lead multiple teams responsible for the development and maintenance of Fords Industrial System Data. The ideal candidate will have a strong technical background in data and/or software engineering, along with proven leadership skills. This role requires the ability to design landing & curation solutions, prioritize team tasks, make timely decisions, and guide the teams to deliver high-quality results. The leader must be knowledgeable in data governance, customer consent, and security standards.

Description

Responsibilities:

• Lead and mentor high-performing teams 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 Industrial Systems' data platform pipelines and architecture.
• Contribute to the long-term strategic direction of the Data Platform with a focus on enterprise use
• Enforce and ensure data quality, data governance, and security standards
• 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

Qualifications Required:

• Bachelor's degree in computer science, Information Technology, Information Systems, or Data Analytics
• 5+ years’ experience in Industrial Systems data (e.g. Engineering / Manufacturing / Supply Chain / Finance / Purchasing / HR)
• 5+ years of progressive responsibilities in a complex data environment
• 3+ years' experience leading a software/data engineering team
• 3+ years of experience in Big Data Environments or expertise with Big Data tools
• Expertise in Google Cloud Platform
• Monitor and optimize cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).