Lead Data Architect

The Walt Disney Company

Remote

Quick summary

Work type: Remote
Location: Burbank, CAOrlando, FLSeattle, WA
Salary: $148,300–$198,800 / yr
Posted: 6 days ago
Closes: Dec 31, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k

This role $174k

$130k most similar roles pay here $222k

This role pays less than 53% of similar roles. Most pay $138,725–$211,200 — the shaded band above. At the midpoint, this role pays about $174k versus about $175k 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 169 open roles on FindRole.

Listed pay typically runs $148,300–$198,800 across 165 roles with salary data.

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View all roles at The Walt Disney Company

At a glance

TL;DR · Lead Data Architect

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As a Lead Data Architect at The Walt Disney Company’s Enterprise Technology & Data division, you will join the Data Solutions & Platforms team to lead and influence the architecture for strategic data initiatives. Your day-to-day responsibilities include architecting high-scale, secure, and interoperable data platforms across the enterprise, designing cross-segment semantic layers, and developing master data management solutions for complex domains like Finance and HR. You will work closely with product and engineering teams to deliver innovative data solutions that support the company’s Data Unification strategy. The role requires experience in cloud data platform development, AI/ML, Snowflake, and data governance, along with strong communication and collaboration skills to engage both technical and business stakeholders effectively.

Skills

Snowflake AI/ML Cloud Data Platforms MDM Solutions Data Governance Data Lakehouse Semantic Layer Design Cross-Segment Integration Agentic Architecture Enterprise Data Architectures High-Scale Systems Secure Interoperable Platforms Collaborative Development CI/CD

What you'll do

Architect high-scale, secure data platforms for AI and analytics applications.
Design interoperable data products to be shared across the enterprise.
Develop a cross-segment semantic layer and data catalog solutions.
Create an agentic architecture for exposing data from enterprise lakehouses.
Architect MDM solutions for complex enterprise domains like Finance and HR.

What we're looking for

7+ years of experience in data architecture for enterprise solutions
Expertise in architecting high-scale cloud and on-premise data platforms
Experience with master data management (MDM) solutions for complex domains
Proficiency in Snowflake, AI/ML, and data governance practices
Strong communication skills to engage both technical and business stakeholders
Ability to design semantic layers and data catalogs for enterprise-wide use
Collaborative mindset for working across product, engineering, and business teams

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