Lead Data Engineer

1976 Walt Disney Attractions Technology LLC; Orlando (FL); On-site; USD 148,000 - 199,000; Full time

Job summary

Disney Experiences in Orlando, FL is seeking a Lead Data Engineer to drive enterprise data architecture, modeling standards, and scalable data integrations across domains. You will guide schema design, metadata, and data dictionary efforts, while leading reviews and strategic planning for data projects.

The role emphasizes cross-functional collaboration, agile delivery, and a passion for innovative data solutions within a premier entertainment brand.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study, or equivalent work experience.
• Experience in data architecture, data modeling, or senior data engineering roles.
• Strong SQL and data transformation skills (dbt, Spark).
• Experience with cloud data warehouses and data lake architectures (Snowflake, Databricks, AWS).
• Ability to enforce data modeling standards across teams.
• Comfortable working in an agile environment with cross-functional teams.

Responsibilities

• Lead the design of enterprise data architecture and integration patterns.
• Define data modeling standards and naming conventions.
• Design cross-domain data integrations for coherent datasets.
• Maintain data dictionaries, lineage documentation, and metadata standards.
• Lead data modeling reviews and complex schema decisions.
• Plan and estimate scalable data architecture projects and budgets.
• Stay current with emerging data technologies to inform recommendations.
• Provide escalation support and guide ongoing data model improvements.

Skills

Data architecture

Data modeling

SQL

Agile teamwork

Leadership

Cross-functional collaboration

Education

Bachelor's degree

Master's degree

Tools

erwin

dbt

SqlDBM

Alation

Snowflake

Databricks

Redshift

EMR

Spark

Glue

Terraform

CloudFormation

CDK

Apache Atlas

Job description

Job Posting Title: Lead Data Engineer Req ID: 10155285

Job Description: 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

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

Primary City, State, Region, Postal Code: Orlando, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted: 2026-08-20

Learn more about us.

Job Posting Segment: DX Technology

Primary Business: Emerging Tech & Data

Primary Job Posting Category: Data Engineering