Manager/Lead - Data Engineer

Overview

Lead and manage data engineering delivery for the Enterprise Data Development team, designing and architecting solutions to integrate and transform business data into a data warehouse using cloud technologies (GCP).

What you'll do

• Directly manage, coach, mentor, and performance manage data engineering managers.
• Collaborate with stakeholders to understand data needs and translate them into data engineering initiatives.
• Oversee resource allocation and capacity planning with project and solution managers.
• Manage vendor relationships and contracts as needed for alignment with data engineering goals.
• Identify and lead improvements to the data engineering operating model by streamlining and automating tasks.
• Drive adoption of best practices, standards, and data quality improvements across the team.
• Provide technical guidance and mentorship, contributing to data architecture and standards.

What you'll need

• Bachelor’s degree or equivalent practical experience in a relevant field.
• For Manager: 15+ years of data engineering experience, including 5+ years leading mid-to-large data engineering teams and managers.
• For Lead: 12+ years of total work experience in data engineering, data architecture, or related roles.
• Strong stakeholder management skills across functions, geographies, and time zones.
• Deep understanding of data engineering principles, practices, and technologies.
• Proven experience working with cloud-based data platforms and modern data engineering environments.
• Experience working in Agile delivery or product team environments with strong communication skills.

Nice to have

• Specialization in Google Cloud Platform (GCP).
• Proficiency in ETL/ELT processes and data architecture design.
• Experience managing data engineering projects.

Details

• Role openings include Manager - Data Engineer and Lead - Data Engineer.
• Enterprise Data Development team focuses on integrating and transforming business data into an enterprise data warehouse.