Manager, Data Engineering
Ford Motor Company
Responsibilities:
+ Lead and mentor a 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).
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).
**Requisition ID** : 48940
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