Lead Data Product Engineer

Job Summary:

At Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney!

If you’re passionate about designing and engineering complex, large-scale data products, come join us! We’re seeking a Lead Data Product Engineer to architect, build, and optimize enterprise-grade data solutions. You’ll own the full lifecycle of data products, from ingestion and transformation to architecture and enablement, while ensuring reliability and scalability.

As a technical lead, you’ll shape data product design, define contracts and schemas, and partner closely with data source owners, engineers, architects, and end-user teams. This is not a pure coding role, instead, you will engineer the product layer of data, designing assets, writing queries, and translating complex source data into consumable products that data engineers implement and scale.

You will sit within Data Products & Platforms for Disney Experiences, collaborating with internal teams and technical leaders across the company.

You Will

• Architect and deliver enterprise data models, schemas, and contracts to support multi-source ingestion, transformation, and consumption at scale.
• Own the full product lifecycle for data domains, including design, versioning, governance, and deprecation.
• Define and evolve technical strategies for high-volume operational and analytical workloads.
• Act as the data and technical subject matter expert, covering not only your domain and products but also the enablement capabilities of our modern data ecosystem with partners.
• Partner with architects and data engineers to design and implement scalable, secure, high-throughput pipelines and consumption-ready data products.
• Translate business requirements into technical specifications and engineering deliverables.
• Perform deep reviews and gap assessments of existing data flows, modernizing legacy pipelines into modern cloud-native ecosystems.
• Manage technical acceptance criteria, SLAs, timelines, and cost controls for data products.
• Represent the data product engineering function in executive forums, advocating for technical excellence and data-driven strategy.

You Have

• 7+ years designing and delivering large-scale data products, with proven experience leading data solutions and/or engineering teams.
• Hands-on expertise in data product management or data engineering, especially in complex business and operational domains.
• Advanced skills in data modeling and documentation (conceptual, logical, physical), driving solutions end-to-end: discovery to deployed pipelines supporting BI, analytics, and AI/ML.
• Deep technical fluency with data engineering concepts and platforms (AWS: S3, Lambda, Step Functions, Glue), data platforms (Snowflake), governance (data contracts), transformation and orchestration (dbt, Airflow), and streaming/event technologies (Kinesis, Pub/Sub patterns, Kafka).
• Strong understanding of batch and real-time architectures, including event-driven and streaming solutions.
• Proven ability to partner and influence across technical and business teams; clear, concise communicator who can translate complexity.
• Recognized technical authority in data product engineering practices, defining best-in-class methods and coaching others on process and execution.

Required Education

• Bachelor’s degree in Computer Science, Information Systems, or related field—or equivalent professional experience.

#DISNEYTECH

The hiring range for this position in California is $166,800 - $223,600 per year based on a 40 hour work week. The amount of hours scheduled per week may vary based on business needs. 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.