Manager, Data Engineering - Commerce

About Netflix

At Netflix, our mission is to entertain the world. We are building the next episode of global entertainment, merging creativity, intuition, and cutting-edge technology. Join us in discovering what's next.

The Commerce Product Data Engineering Team

The Commerce Product Data Engineering team is vital for optimizing member acquisition and global commerce experiences. We build foundational data products that power customer sign-up, payment processing, and core commerce flows. Our work directly enables Product Management and Data Science to conduct sophisticated experimentation and generate key insights, significantly impacting our global member base and company revenue.

We operate with a strong product mindset, treating data pipelines and core frameworks as high-quality products that must be reliable, scalable, and easy to use.

The Role: Manager, Data Engineering - Commerce

We are seeking a strategic and highly technical Manager, Data Engineering - Commerce to lead a talented team of Data and Software Engineers. This critical and unique role requires balancing engineering enablement with business data delivery.

You will lead a team focused on driving engineering excellence, tooling, and strategic partnership with the central Data Platform organization, while also delivering high-impact business data products.

Key Responsibilities

• Team Leadership & Talent Development
  • Lead and Inspire: Hire, coach, and grow a diverse, high-performing team of data and software engineers, fostering their technical and professional development through direct, constructive, and empathetic feedback.
  • Define Vision: Develop and execute a clear, impact-oriented roadmap for the team, aligning core data initiatives and engineering enablement goals with broader Commerce and company objectives.
  • Drive Execution: Oversee the design, building, and scaling of robust, well-modeled, and reliable data products that support experimentation, analytics, and machine learning across the commerce domain.
• Engineering Enablement
  • Build Tooling & Frameworks: Lead a critical function within the team dedicated to building reusable data frameworks, development tooling, and automation capabilities that significantly increase the productivity, efficiency, and data quality of the entire Commerce Product Data Engineering organization.
  • Operational Excellence: Define and drive best practices for data modeling, pipeline architecture, testing, and observability, ensuring a high bar for engineering excellence across the team.
  • Data as a Product: Champion the concept of data products within the team, focusing on discoverability, documentation, and the unification of data from complex upstream commerce systems.
• Platform Strategy & Stakeholder Partnership
  • Influence Data Platform: Act as the primary technical partner to the central Data Platform team, proactively engaging to influence the direction, features, and capabilities of the core data platform to ensure it meets the unique needs of the Commerce Product Data Engineering team.
  • Cross-Functional Alignment: Build strong relationships and collaborate effectively with senior stakeholders across Product Management, Data Science, Engineering, and Finance to translate ambiguous business requirements into robust, scalable technical solutions.
  • Navigate Ambiguity: Provide clear direction and priority alignment in a fast-paced environment where business needs and technical challenges are constantly evolving.

The Ideal Candidate

• Engineering Leadership: You have 5+ years of experience in engineering leadership, managing and growing high-performing Data Engineering teams.
• Technical Acumen: You possess a strong background in data engineering, distributed systems, data modeling, and large-scale data processing technologies (e.g., Spark, Flink, or similar). You can guide complex architectural decisions and set a high technical bar.
• Tooling & Infrastructure Focus: You have specific, demonstrable experience leading efforts to build shared tooling, infrastructure, or platform features that enabled other data engineering teams to move faster and more reliably.
• Strategic Thinker: You look beyond immediate fixes to advocate for smart investments in infrastructure, efficiency, and long-term architectural value.
• Communication & Influence: You have exceptional stakeholder management skills, capable of building consensus and driving alignment across technical teams and senior business leaders.
• Product Mindset: You are passionate about the business value of data, understand the commerce/acquisition domain, and own the quality of the data products your team delivers end-to-end.

Compensation & Benefits

Netflix's compensation structure consists solely of an annual salary, with no bonuses. You have the flexibility to choose how much compensation you want in salary versus stock options. Compensation is determined by market indicators, job family, background, skills, and experience. The salary range for this role is $446,000.00 - $752,000.00, varying by location.

Comprehensive benefits include Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. Paid leave of absence programs are also offered. Full-time hourly employees accrue 35 days annually for paid time off; full-time salaried employees are immediately entitled to flexible time off. More details are available on Netflix's benefits page.

Key skills/competency

• Data Engineering Leadership
• Distributed Systems
• Data Modeling
• Large-Scale Data Processing
• Spark
• Flink
• Data Product Development
• Stakeholder Management
• Engineering Enablement
• Strategic Planning