Data Engineering Manager: Lead Scalable Analytics

Netflix; Madison (WI); On-site; USD 27,552 - 41,328; Full time

Job summary

Netflix is seeking an experienced Data Engineering Manager in Madison to lead a high‑performing data team and shape the data platform that powers monetization analytics across Finance, Operations, and Marketing.

You will mentor engineers, partner with data scientists and product leaders, drive scalable data architecture, and ensure robust data quality in live production systems while delivering value at speed.

Qualifications

• Proven experience managing and building data-centered teams with diverse skills.
• Track record delivering robust data solutions in a fast-paced environment.
• Strong mentoring and coaching to improve technical decisions and code quality.
• Deep commitment to execution, velocity, and ownership.
• Excellent data quality instincts and understanding of live production systems.

Responsibilities

• Provide architectural vision to build scalable data ecosystem for finance and cross-functional teams.
• Establish robust relationships across business, science, analytics, and engineering partners.
• Balance immediate partner needs with long-term vision.
• Lead a team of data engineers, analysts, and scientists to execute a shared vision across data, engineering, and business.
• Coach the team using insightful feedback, governance, and structured mentoring.
• Build a secure and performant data environment for the entire Netflix monetization data stack.

Skills

Data team leadership

Mentoring

Data architecture

Cross-functional collaboration

Production data quality

Education

Bachelor's Degree

Job description

Netflix is seeking an experienced Data Engineering Manager in Madison to lead a high‑performing data team and shape the data platform that powers monetization analytics across Finance, Operations, and Marketing.

You will mentor engineers, partner with data scientists and product leaders, drive scalable data architecture, and ensure robust data quality in live production systems while delivering value at speed.