Manager, Data Engineering – Commerce

Netflix is a company dedicated to entertaining the world through innovative storytelling and technology. They are seeking a Data Engineering Manager to lead a team focused on optimizing member acquisition and commerce experience by delivering high-impact data products and engineering excellence.

Responsibilities:

• 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
• Develop and execute a clear, impact-oriented roadmap for the team, aligning both core data initiatives and engineering enablement goals with broader Commerce and company objectives
• 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
• 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
• Define and drive best practices for data modeling, pipeline architecture, testing, and observability, ensuring a high bar for engineering excellence across the team
• Champion the concept of data products within the team, focusing on discoverability, documentation, and the unification of data from complex upstream commerce systems
• 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
• 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
• Provide clear direction and priority alignment in a fast-paced environment where business needs and technical challenges are constantly evolving

Requirements:

• 5+ years of experience in engineering leadership, managing and growing high-performing Data Engineering teams
• Strong background in data engineering, distributed systems, data modeling, and large-scale data processing technologies (e.g., Spark, Flink, or similar)
• 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
• Ability to advocate for smart investments in infrastructure, efficiency, and long-term architectural value
• Exceptional stakeholder management skills, capable of building consensus and driving alignment across technical teams and senior business leaders
• 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