Lead Data Engineer
1976 walt disney attractions
📍 orlando florida united states💰 $148K–$199K/yr🕐 20d ago🔗 workday
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.
Job Posting Segment:
DX Technology
Job Posting Primary Business:
Emerging Tech & Data
Primary Job Posting Category:
Data Engineering
Employment Type:
Full time
Primary City, State, Region, Postal Code:
Orlando, FL, USA
Alternate City, State, Region, Postal Code:
Date Posted:
2026-08-20