Lead Data Engineer
About The Position
“We Power the Magic!” That’s our motto at Disney Experiences (DX). 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. We are responsible for the end-to-end digital and physical Guest experience across Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise, as well as initiatives including My Disney Experience and Hey, Disney! This role sits within the Data Products & Platforms organization within Technology & Digital for Disney Experiences, working closely with various partners across the company.
Requirements
- Minimum 7 years of related work experience in data architecture, data modeling, or senior data engineering roles
- Deep expertise in dimensional modeling, data vault, lakehouse architectures, and enterprise data modeling at scale
- Advanced SQL skills and proficiency with data transformation tools (e.g., dbt, Spark)
- Extensive experience with cloud data warehouses and data lake architectures (e.g., Snowflake, Databricks, AWS)
- Proven ability to define and enforce data modeling standards across teams and domains
- Comfortable working in an agile environment, collaborating with cross-functional teams
- A visionary who motivates teams to excel and fosters creativity, consistently driving excellence
- An advocate for a diverse and inclusive culture that encourages innovation and ensures every team member feels a sense of belonging
- Familiarity with [add required technologies here], with a desire to further develop technical expertise in data architecture tools and methodologies
Nice To Haves
- Data Modeling Tools – erwin, dbt, SqlDBM, Alation
- Cloud Data Warehouses – Snowflake, Databricks, Redshift
- Data Processing – EMR, Spark, Glue, Spark Streaming/Flink
- Data Quality – Elementary, Anomalo, Great Expectations
- Metadata & Governance – Alation, Unity Catalog, Apache Atlas
- Infrastructure as Code – Terraform, CloudFormation, CDK
Responsibilities
- Lead the design of enterprise data architecture, including logical models, physical schemas, and integration patterns
- Define data modeling standards, naming conventions, and architectural patterns across domains
- Design cross-domain data integrations that connect disparate source systems into coherent, well-modeled datasets
- Establish and maintain data dictionaries, lineage documentation, and metadata standards
- Lead data modeling reviews and provide guidance on complex schema design decisions
- Help drive estimation and planning for highly sophisticated, scalable data architecture projects, including budget allocation
- Stay current with emerging data modeling and architecture technologies to inform recommendations
- Provide escalation support as needed and guide the ongoing enhancement of existing data models and architecture
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
