The Staff Data Engineer role at Netflix focuses on shaping the technical direction of the Ads Data Engineering organization. This position involves building a cohesive data ecosystem that enhances Netflix's understanding of ad impacts on business. The ideal candidate will have extensive experience in data engineering, particularly within advertising or ad-tech domains, and will serve as a mentor and technical leader across teams. The role emphasizes collaboration, innovation, and the integration of AI technologies into data engineering practices.

• 15+ years of experience in building data-foundation, backend, or data engineering systems.
• Experience in advertising or ad-tech data.
• Proven ability to drive technical direction across organizational lines.
• Experience with major platform migrations or data product journeys.
• Strong focus on data privacy and governance.
• Excellent communication skills to translate technical nuances for diverse audiences.
• Ability to work comfortably in ambiguous situations and facilitate team consensus.

• Set technical direction and design coherence across the Ads Data Engineering organization.
• Resolve cross-domain design decisions to help teams converge on scalable approaches.
• Partner with Ads DE leadership to align technical strategy with business priorities.
• Mentor and coach data engineers to foster technical growth and adoption of new technologies.
• Build partnerships with senior engineers on data platform and D&I teams.
• Define AI-native data engineering practices for the Ads DE function.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.