Manager, Data Engineering

Overview In this leadership role, you guide the Content Promotion & Distribution Data Engineering team to build scalable data foundations and multimodal pipelines powering analytics, experimentation, and ML/GenAI initiatives. You partner with cross-functional stakeholders to design data products and media assets that enable data-driven decisions for content promotion at scale. You will shape the technical roadmap, mentor a diverse team, and drive high-impact projects across global campaigns and title launches. This is a chance to influence how Netflix uses data to inform promotion strategies and content delivery. Compensation / BenefitsHealth PlansMental Health support401(k) Retirement Plan with employer matchStock Option ProgramHealth Savings AccountsFlexible Time Off ResponsibilitiesLead and grow a diverse team of data, software, and ML engineers across the Data Engineering and ML domainsOwn end-to-end data foundations for Content Promotion & Distribution, including batch/streaming pipelines, modeling, warehousing, and data qualityBuild and maintain multi‑modal data pipelines (media, text, metadata) for ML/GenAI training and servingPartner with Content Promotion & Distribution DSE, AI ML Platform, Content Engineering, Studio Algo, and Marketing to ideate and deliver high-impact data productsShape data strategy and architecture for structured and multi‑modal data to enable analytics, experimentation, and ML at scaleDrive foundational work on multimodal media products, including title launch management, promotional analytics, and media asset accessProvide technical vision, balancing near-term needs with multi-year investments in infrastructure and paved paths for ML/GenAI productionizationSet technical standards for scalable, interpretable data models, reliable pipelines, and governance for ML features and media datasetsMentor and develop engineers, fostering inclusive, high-performing teams and clear career pathsBuild alignment across a broad network of stakeholders to drive decisions affecting hundreds of millions of Netflix members Key requirements7+ years leading data engineering teams (including managers) or large shared-resource teamsProven track record in multimodal data, marketing/promotion, content/media domains, experimentation, or ML/AI-driven productsComfort owning both analytics-focused (ETL/ELT, dimensional modeling, warehousing, data quality) and ML-focused (feature pipelines, media prep, training/serving data) data engineeringStrong communication skills and ability to influence across Director/Manager-level partnersInclusive leadership with focus on psychological safety and diverse perspectivesExperience managing cross-domain, multi-stakeholder work and prioritization across domainsDeep technical expertise in: multimodal asset processing pipelines, ML-ready data products, data warehousing, and batch/streaming processingProficiency with big data and cloud tools (S3, Spark, data warehouses, workflow orchestration)crisp communicationinclusive leadershipcross-functional collaborationmultimodal data pipelines (media, text, metadata)ML-ready data productsdata warehousing and dimensional modeling