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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** Walt Disney Studios - **Location:** Orlando, FL, United States - **Experience:** Expert - **Salary:** $148,300.0 - $198,800.0 - **Contract:** Franchise - **Skills:** Amazon Web Services, Apache HTTP Server, Architectural Patterns, Cloud Database, Information Systems, Data Architecture, Information Engineering, Data Transformation, Data Vault Modeling, Dimensional Modeling, Metadata, Metadata Standards, Data Processing, Sql Optimization, Snowflake, Apache Spark, Cloudformation, Data Lakes, Information Technology, Apache Flink, Spark Streaming, Terraform, Amazon Redshift, Databricks - **Published:** August 21, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27953624/Lead-Data-Engineer-Florida-Orlando-1015 ## About the Role * 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 ## Description "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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)