Lead Data Product Engineer at The Walt Disney Company

Glendale, California, United States

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Entertainment, Hospitality, TechnologyIndustries

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

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