Lead Data Engineer
応募 後で応募 Job ID 10137364 勤務地－都市 グレンデール, カリフォルニア州, アメリカ合衆国 / シアトル, ワシントン州, アメリカ合衆国 勤務地－国 Disney Entertainment and ESPN Product & Technology 掲載日 2025/12/11仕事内容:
Disney Entertainment and ESPN Product & Technology
Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.
The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.
Here are a few reasons why we think you’d love working here:
Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
3. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.
Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.
Job Summary:
We are hiring a Lead Data Engineer to design, build, and scale the data foundations that power AI adoption across Ad Technology. In this role, you will own how data flows into AI- ready and optimized stores, from streaming pipelines and embedding pipelines to vector stores and monitoring systems.
You’ll partner closely with the AI Core Engineering team to enable shared agents, registries, and developer tools with robust, reliable, real-time data. As a technical leader, you will set data engineering patterns, mentor engineers, and deliver resilient pipelines that support high-profile AI applications with speed and safety. This role ensures AI applications are powered by reliable, real-time data foundations, enabling faster and safer deployments across Disney Ad Tech.
Responsibilities and Duties of the Role:
Data Architecture & Pipeline Development
- Design and build streaming and batch pipelines for AI applications, ensuring low-latency and high-throughput data flows.
- Implement embedding pipelines and vector store integrations to support retrieval, semantic search, and AI assistants.
- Optimize storage and retrieval patterns for scalability, compliance, and cost efficiency.
AI Data Foundations & Integration
- Own the design of AI-optimized data stores that align with enterprise data architecture.
- Partner with the AI Core Engineering team to provide reliable pipelines into shared agents, registries, and services.
- Develop reusable data ingestion and transformation frameworks for cross- team adoption.
Monitoring, Quality & Reliability
- Build observability into data pipelines with monitoring, alerting, and dashboards for latency, drift, and failures.
- Implement data quality checks, schema validation, and governance controls.
- Ensure pipelines meet enterprise standards for compliance, audit, and resilience.
Leadership & Collaboration
- Mentor engineers, conduct design/code reviews, and enforce data engineering best practices.
- Collaborate with infra, product, and governance teams to align on priorities and safe adoption of AI.
- Drive delivery of high-profile AI applications by balancing execution speed with system reliability.
Required Education, Experience/Skills/Training:
Basic Qualifications
- 7+ years of data engineering experience, with at least 2 years in a lead or senior technical role.
- Experience building and scaling streaming data pipelines in large-scale, distributed environments.
- Strong skills in Python, Java and SQL with expert level skill in either Python or Java.
- Proven experience building streaming data pipelines (e.g., Kafka, Flink, Spark, Kinesis).
- Experience with embedding pipelines and vector stores (e.g., Pinecone, Weaviate, FAISS, pgvector).
- Strong knowledge of data modeling, storage optimization, and retrieval patterns for large-scale systems.
- Hands-on experience with workflow orchestration tools (Airflow, Dagster, etc.).
- Strong collaboration and communication skills, able to partner across AI engineering, infra, and product teams.
- Familiarity with testing, monitoring, and automation for data pipelines.
Preferred Qualifications
- Experience integrating AI-ready data stores with LLM orchestration frameworks (LangChain, LangGraph, etc.).
- Knowledge of observability and monitoring stacks (Datadog, Prometheus, or equivalent).
- Background in governance and compliance practices for enterprise data platforms.
- Experience building data frameworks, registries, or accelerators adopted by multiple teams.
- Experience ensuring data security, lineage, and auditability in enterprise data environments
- Skilled at writing design documentation, driving system architecture reviews, and influencing data engineering culture.
Required Education
- Bachelor’s degree in Computer Science, Engineering, or related technical field (Master’s preferred), or equivalent experience.
The hiring range for this position in Glendale, CA is $152,200 - $204,100 per year and in Seattle, WA is $159,500 - $213,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Disney Entertainment and ESPN Product & Technology について:
Disney Entertainment and ESPN Product & Technologyでは、イマジネーションとイノベーションを融合することで、世界中で最も愛されているストーリーや製品をお客様が体験し、それらと触れ合う方法を新たな視点で再考しています。私たちの業務は多岐にわたり、極めて洗練されています。私たちは、すばらしい体験を創造し、メディアの未来を変革すると同時に、世界中の人々と、彼らが愛するストーリーやスポーツとのつながりを深めることができる製品やプラットフォームを構築しています。
世界クラスのテクノロジーと比類のないクリエイティビティを結びつけるDisneyの能力が、私たちをユニークな存在にしています。それは私たちの過去、現在、そして未来の核心にあるものです。私たちはストーリーテラーであると同時にイノベーターでもあり、クリエイターであると同時にビルダーでもあり、エンターテイナーであると同時にエンジニアでもあります。
The Walt Disney Company について:
The Walt Disney Companyは、その子会社・関連会社とともに、多様性あふれる国際企業として、Disney Entertainment、ESPN、Disney Experiencesの3事業を柱に、ファミリー向けエンターテインメントとメディアの世界をけん引しています。1920年代に小さなアニメ・スタジオとしてスタートしたDisneyは、今日のエンターテインメント業界において卓越した存在となりました。ディズニーは今後も、子供から大人まで、ご家族のだれもが楽しめる一流の物語や体験を生み出し続けます。Disneyのストーリーやキャラクター、体験は、世界中のあらゆる場所の消費者やお客様に届けられています。当社は40カ国以上で、従業員とキャストメンバーが一丸となり、世界的にも地域的にも歓迎されるエンターテインメント体験を創出しています。
このポジションは Disney Streaming Technology LLC という事業部門の一つである Disney Entertainment and ESPN Product & Technologyでのお仕事です。
Disney Streaming Technology LLC は機会均等雇用主です。応募者は、人種、宗教、肌の色、性別、性的指向、ジェンダー、性自認、性表現、国籍、家柄、年齢、配偶者の有無、軍役経験の有無やその地位、健康状態、遺伝情報や障がい、または連邦法や州法、地方法で禁止されているその他の法的根拠に関係なく、雇用の検討対象となります。Disneyは、すべての人々のアイデアと決断が、成長、革新、最高のストーリーの創造に役立ち、絶えず進化する世界において、価値ある存在になれるよう支援するビジネス環境を支持します。