Lead Data Architect

The Walt Disney Company

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$148,300–$198,800 / yr
Posted
51 days ago
Freshness
Confirmed live 2 days ago
Closes
Dec 31, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k
This role $174k
$139k most similar roles pay here $236k

This role pays less than 70% of similar roles. Most pay $167,887–$216,300 — the shaded band above. At the midpoint, this role pays about $174k versus about $192k 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 118 open roles on FindRole.

Listed pay typically runs $148,700–$199,400 across 118 roles with salary data.

Most-posted roles

View all roles at The Walt Disney Company

At a glance

TL;DR · Lead Data Architect

As a Lead Data Architect within the Data Solutions & Platforms group, you will lead and influence architecture for strategic programs shaping the future of data, analytics, and AI. You will be responsible for architecting high-scale, secure, and interoperable data platforms to enable AI applications, designing data products for enterprise sharing, and creating cross-segment semantic layer and data catalog solutions. Your daily work involves developing master data management strategies for complex domains like Finance and HR while designing agentic architectures to expose data from lakehouse domains. To succeed in this role, you must possess expertise in Snowflake, AI/ML, and data governance. You will collaborate with product and engineering teams to solve complex problems related to the company's Data Unification strategy, ensuring that technical solutions align with business goals across various enterprise segments.

What you'll do

  • Architect high-scale, secure, and interoperable data platforms to enable enterprise AI and analytics applications.
  • Design data products and domains that can be shared across the entire enterprise.
  • Architect cross-segment semantic layer and data catalog solutions for the organization.
  • Design an agentic architecture to expose data from lakehouse domains to AI applications.
  • Develop Master Data Management (MDM) strategies and architect solutions for complex domains like Finance and HR.
  • Lead the architectural design of strategic programs supporting the company's Data Unification strategy.

What we're looking for

  • Bachelor's degree in Computer Science, Information Systems, Software, Engineering, or a comparable field of study.
  • At least 7 years 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 (MDM) solutions for complex domains.
  • Experience with Snowflake.
  • Experience with AI/ML technologies.
  • Knowledge of data governance.
  • Strong communication and collaboration skills to engage both technical and business audiences.

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