Manager, Data Engineering

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).