Lead Data and Ontology Engineer

The Walt Disney Company

Quick summary

Work type
On-site
Location
Lake Buena Vista, FL
Salary
$148,300–$198,800 / yr
Posted
3 days ago
Closes
Jul 18, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k
This role $174k
$123k most similar roles pay here $221k

This role pays less than 51% of similar roles. Most pay $132,831–$211,200 — the shaded band above. At the midpoint, this role pays about $174k versus about $172k 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 186 open roles on FindRole.

Listed pay typically runs $148,300–$198,800 across 183 roles with salary data.

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View all roles at The Walt Disney Company

At a glance

TL;DR · Lead Data and Ontology Engineer

Role Posting Log in to save

As the Lead Data and Ontology Engineer at Disney, you will join a dynamic team in Lake Buena Vista, Florida to design and develop enterprise ontologies, semantic layers, and knowledge graphs that serve as the backbone for a modern federated data platform. Your responsibilities include creating and maintaining semantic layer graphs, knowledge graphs, and entity graphs using graph databases like Neo4j and vector databases such as Qdrant, while ensuring robust security models and governance processes are in place. You will collaborate with various teams to translate business goals into ontological designs that drive measurable outcomes, contributing to initiatives like unified reporting and AI-driven search capabilities. This role requires deep expertise in ontology modeling (OWL, RDF), graph technologies, and proficiency in Python, SPARQL, Cypher, GraphQL, and SQL, along with experience in cloud services and federated data architectures involving Snowflake, Databricks, PostgreSQL, MongoDB, S3, Kafka, and more.

Skills

Python Neo4j Amazon Neptune OWL RDF SPARQL Cypher GraphQL Snowflake Databricks PostgreSQL MongoDB S3 Kafka AWS RBAC ABAC Data Catalog Semantic Layer Knowledge Graph Entity Graph Vector Databases CI/CD

What you'll do

  • Design and build enterprise ontologies aligning business objectives with technical implementation.
  • Lead creation and maintenance of semantic layer graphs, knowledge graphs, and entity graphs.
  • Develop strategies for using vector databases and graph technologies to enable LLM-augmented search.
  • Partner with data engineering teams to translate business goals into measurable ontological models.
  • Implement enterprise security models through the ontology and semantic layer governance.
  • Contribute to a unified data access layer supporting querying across diverse data sources.
  • Establish ontology governance processes for scalability and consistency across the enterprise.

What we're looking for

  • 7+ years of experience in data engineering, architecture, or related fields with technical implementation.
  • Deep expertise in ontology modeling (OWL, RDF) and graph technologies like Neo4j, Amazon Neptune.
  • Strong understanding of semantic layer graphs, knowledge graphs, and entity graphs.
  • Hands-on experience with vector databases for semantic search and LLM integration.
  • Proficiency in designing Data Catalogs and implementing federated data architectures.
  • Solid understanding of data governance, security models (RBAC/ABAC), and compliance.
  • Excellent communication skills to bridge business stakeholders and technical teams.

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