Lead Data Product Engineer

“We Power the Magic!” That’s our motto at Disney Experiences Technology (DXT). Our team creates world‑class immersive digital experiences for the Company’s premier vacation brands. We deliver experiences to consumers through Disney’s Parks & Resorts worldwide, Disney Cruise Lines, and Disney Vacation Club. We are responsible for the end‑to‑end digital and physical Guest experience for all technology & digitally‑led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business, as well as other initiatives such as Hey, Disney!

If you’re passionate about designing and engineering complex, large‑scale data products focused on how we know our Guests, come join us! We’re seeking a Lead Data Product Engineer to own the Guest Profile within our Guest
360 platform. You’ll architect, build, and optimize enterprise‑grade data solutions that power a comprehensive, real‑time view of our Guests across the enterprise. You’ll own the full lifecycle of the Guest Profile data product, from ingestion and transformation to architecture and enablement, while ensuring reliability and scalability. As a technical lead, you’ll shape the Guest Profile’s data model, 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 the Guest Profile, designing assets, writing queries, and translating complex source data into a consumable, unified guest view that data engineers implement  will sit within Data Products & Platforms for Disney Experiences, collaborating with internal teams and technical leaders across the company.

• 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 the Guest Profile data product, 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 for the Guest Profile, covering identity resolution, guest attributes, and 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 guest data flows, modernizing legacy pipelines into modern cloud‑native ecosystems.
• Manage technical acceptance criteria, SLAs, timelines, and cost controls for the Guest Profile data product.
• Represent the Guest Profile in executive forums, advocating for technical excellence and data‑driven strategy.

• 7+ years designing and delivering large‑scale data products, with proven experience leading data solutions and/or engineering teams.
• Bachelor’s degree in Computer Science, Information Systems, or related field—or equivalent professional experience.
• 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: Kinesis, Dynamo
  
  DB, Redis/Valkey, Lambda, S3), data platforms (Snowflake), governance (data contracts), transformation and orchestration (dbt, Airflow), stream processing frameworks (Apache Flink), and streaming/event technologies (Kinesis, CDC patterns, Pub/Sub patterns).
• 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.

• Experience with identity resolution or customer data platforms (CDP).
• Familiarity with real‑time streaming architectures and Apache Flink.
• Background in hospitality, travel, or entertainment industries.