Manager, Ads Data Engineering
Netflix
Job Overview
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Job Description
About Netflix and the Opportunity
At Netflix, our mission is to entertain the world. We are writing the next episode, pushing the boundaries of storytelling, global fandom, and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition, and cutting-edge technology. Come be a part of what’s next.
The Ads data engineering team builds centralized and large-scale datasets supporting the overall goals of our Ads data initiatives. We focus on creating standardized, scalable datasets, frameworks, and integration mechanisms to enhance discoverability, accessibility, and usability for all stakeholders within the Ads organization. We deliver data as a product by defining core foundational data and providing reusable, consistent, and curated datasets that unify data from various systems and producers. This ensures we account for upstream changes, such as new ad products, event types, or integration channels, so our customers have the data they need to build solutions and make decisions.
We are seeking a stellar Manager, Ads Data Engineering who can lead a team of talented data engineers and oversee critical areas including Ads inventory and demand management (forecasting, simulation), pricing/packaging, media planning data, sales performance data, and sales workflow automation. This role is crucial for building reliable, scalable systems that enable accurate inventory prediction, packaging, and sales operation excellence. Your leadership will ensure the creation of robust, scalable, and efficient data pipelines and platforms, enabling Netflix to deliver targeted and impactful advertising experiences to our members while maintaining a strong commitment to data privacy and security.
In This Role, You Will
- Lead a team of strong engineers building high-scale, highly reliable data processing systems serving the Ads domain.
- Build a strong team vision and roadmap for the team.
- Effectively partner with a diverse group of stakeholders to enable healthy and impactful collaboration among teams.
- Offer direct, constructive feedback grounded in empathy, helping team members amplify their strengths and grow through their challenges. Be a thought partner in their career development.
- Monitor and proactively address any drain on the team's productivity and efficiency, ensuring the team can focus the majority of their efforts on innovation.
- Hire and grow a diverse, high-performing team of top-tier data engineering talent.
What We Are Seeking In An Ideal Candidate
- You have 8+ years of experience in data engineering.
- You have strong programming (at least 1 major language) and SQL experience in your background.
- You have 3+ years of engineering leadership experience, preferably in the Ad tech domain.
- You see what’s ahead and advocate for smart investments, efficiency, innovation, and long-term value.
- You attract top talent and build inclusive, high-performing teams, knowing great outcomes start with great people.
- You care about your team’s growth and well-being and handle tough conversations with empathy and clarity.
- You have a strong engineering background and can guide teams to deliver great technical outcomes.
- A BS in Computer Science/Engineering or a related discipline.
- You have strong experience with distributed data processing technologies (i.e. Spark/Hadoop/Flink, etc.).
Key Skills/Competency
- Data Engineering Leadership
- Ad Tech Domain Expertise
- Distributed Data Processing
- SQL & Programming
- Team Building & Mentorship
- Stakeholder Collaboration
- System Scalability
- Data Pipeline Architecture
- Forecasting & Simulation
- Data Privacy & Security
How to Get Hired at Netflix
- Research Netflix's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their unique environment.
- Tailor your resume for Ads Data Engineering: Highlight your experience in ad tech, distributed data processing, and leadership, aligning with Netflix's specific requirements.
- Showcase technical depth: Prepare to discuss your strong background in a major programming language, SQL, and distributed technologies like Spark, Hadoop, or Flink during technical interviews.
- Demonstrate leadership and empathy: Be ready to share examples of how you've built high-performing teams, fostered collaboration, provided constructive feedback, and supported career development.
- Prepare for a values-aligned interview: Understand Netflix's commitment to innovation, efficiency, and data privacy, and be prepared to discuss how your approach aligns with these core principles.
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