Lead Data Engineer - (Orlando, Floride, États-Unis)

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  - Data Quality – Elementary, Anomalo, Great Expectations  - Metadata & Governance – Alation, Unity Catalog, Apache Atlas  - Infrastructure as Code – Terraform, CloudFormation, CDK  Required Education  - Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study, and/or equivalent work experience.  Preferred Education  - Master's degree in a related field  OrgID : 35576