Lead Data Engineer

Disney; Orlando (FL); On-site; USD 148,000 - 199,000; Full time

Job summary

Disney Experiences (DX) seeks a Lead Data Engineer to drive enterprise data architecture, models, and integration patterns for cross-domain datasets. You will define standards, lead reviews, and guide scalable architecture initiatives across teams within the DX technology ecosystem.

You will collaborate in an agile setting, mentor teammates, and stay ahead of evolving data technologies to ensure robust metadata, lineage, and governance.

Qualifications

• Minimum 7 years in data architecture, modeling, or senior data engineering.
• Expertise in dimensional modeling, data vault, lakehouse at scale.
• Advanced SQL and data transformation tools (dbt, Spark).
• Extensive experience with Snowflake, Databricks, AWS cloud warehouses.
• Ability to define and enforce data modeling standards across teams.
• Comfortable in an agile environment and cross-functional collaboration.
• A visionary leader who fosters innovation and inclusion.
• Familiarity with required tech tools and eagerness to learn more.

Responsibilities

• Lead the design of enterprise data architecture, including models and schemas.
• Define data modeling standards, naming conventions, and patterns across domains.
• Design cross-domain data integrations for coherent datasets.
• Establish data dictionaries, lineage, and metadata standards.
• Lead data modeling reviews and complex schema decisions.
• Support estimation and planning for scalable data architecture projects.
• Stay current with new data modeling technologies and inform recommendations.
• Provide escalation support and guide ongoing data model enhancements.

Skills

Dimensional modeling

Data vault

Lakehouse architectures

Advanced SQL

dbt

Spark

Cloud data warehouses

Data lake architectures

Data modeling standards

Agile collaboration

Leadership & inclusion

Diversity & culture advocacy

Data architecture tooling

Education

Bachelor's degree in Computer Science / Information Systems / Engineering

Master's degree preferred

Tools

erwin

dbt

SqlDBM

Alation

Job description

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
• 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

Salary & Benefits

The hiring range for this position in FL is $148,300.00-$198,800.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. 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.

Employment Type

Full time

Location

Orlando, FL, USA