Lead Data Architect

The Walt Disney Company

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Burbank, CAOrlando, FLSeattle, WA
Salary: $150,500–$201,800 / yr
Employment: Full-time
Posted: 16 days ago
Freshness: Confirmed live today
Closes: Dec 31, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $191k

This role $176k

$128k $249k

below market most similar roles pay here above market

This role pays less than 64% of similar roles. Most pay $166,017–$216,300 — the blue band above. At the midpoint, this role pays about $176k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About The Walt Disney Company

The Walt Disney Company is a diversified global entertainment and media enterprise operating in segments including Disney Parks, Experiences and Products; Entertainment (ABC, Hulu, Disney+); and ESPN. Industry: Entertainment & Media

The Walt Disney Company currently has 90 open roles on FindRole.

Listed pay typically runs $150,900–$202,400 across 90 roles with salary data.

Most-posted roles

View all roles at The Walt Disney Company

At a glance

TL;DR · Lead Data Architect

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The Lead Data Architect joins the Data Solutions & Platforms group within Enterprise Technology & Data to lead architecture for strategic programs shaping the future of data, analytics, and AI. This role focuses on architecting high-scale, secure, and interoperable data platforms to support a Data Unification strategy. Key responsibilities include designing data products, architecting cross-segment semantic layers, and developing agentic architectures to expose data from enterprise data lakehouse domains to AI applications. The position also involves developing MDM strategies for complex domains like Finance and HR. Required expertise includes experience with Snowflake, AI/ML, and data governance. The architect must possess strong communication and collaboration skills to work with product and engineering teams to deliver innovative data solutions across the enterprise.

Skills

Data Architecture Snowflake AI ML Master Data Management Data Governance Data Lakehouse Data Catalog Cloud Data Platforms Data Engineering Semantic Layer Data Products

What you'll do

Architect high-scale, secure, and interoperable data platforms to support enterprise AI and analytics applications.
Design data domains and products to be shared across the entire enterprise.
Architect cross-segment semantic layer and data catalog solutions.
Design an agentic architecture to expose data from enterprise lakehouse domains to AI applications.
Develop MDM strategies and architect master data management solutions for complex domains like Finance and HR.
Lead the architecture for strategic programs supporting the company's Data Unification strategy.

What we're looking for

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study.
7 years or more of experience in data architecture and developing enterprise data, analytics, and AI solutions.
Experience architecting and developing high-scale cloud data platforms.
Experience architecting and developing master data management solutions.
Experience with data governance.
Experience with Snowflake.
Experience with AI/ML.
Strong communication and collaboration skills to interact with both technical and business audiences.

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