Lead Data Engineer

About the Role & Team 

“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. 

What You'll Do 

• 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 

Required Qualifications 

• 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 

Preferred Qualifications 

• Data Modeling Tools – erwin, dbt, SqlDBM, Alation 

• Cloud Data Warehouses – Snowflake, Databricks, Redshift 

• Data Processing – EMR, Spark, Glue, Spark Streaming/Flink