Warner Bros. Discovery

Sr. Data Architect

GA Atlanta 1050 Techwood Drive NW · Senior

Sponsorship not specifiedDetected 25 days ago

SnowflakeDatabricksAWSCI/CDDevOpsMachine LearningdbtData AnalysisData EngineeringLLMsAgentic AILLMOpsMLOpsAccessibilityUnityLeadership

About the role

We are expanding our Enterprise Data & Analytics Group by adding a Sr.
The ideal candidate will treat data as a strategic and intelligent asset, architecting the framework that empowers our entire organization to make high-stakes, data-driven decisions and powers our next-generation Agentic AI ecosystems.
This is a high-visibility role where you will spearhead modernization efforts, partnering with senior leadership, data engineering, and AI/ML teams to transform an optimized data lakehouse into an interconnected, self-reasoning knowledge engine.

Design and deploy semantic abstraction layers (using native platform capabilities like Snowflake Semantic Views, Databricks Unity Catalog/Liquid Clustering, Fabric Semantic Models, or semantic middleware like dbt/Cube) to expose canonical data via intelligent APIs.
Technical Design & Canonical Engineering
Lead the design and consolidation of foundational data domains (e.g., Studio, Finance, Content Sales, Consumer Products) into unified, cleansed Canonical Models within the Silver/Gold layers, successfully abstraction-matching data from highly heterogeneous source systems.
Implement cutting-edge, resilient lakehouse patterns-including stream processing, event-driven pipelines, and schema-on-read ingestion-to feed the canonical layers seamlessly.
You will co-own the design of the foundational AI Context Layer -from enterprise ontology and sophisticated canonical domain modeling to the building of universal semantic layers.
Drive Data Innovation: Bridge the gap between physical big data performance and semantic meaning, ensuring that AI agents can reason through complex, recursive enterprise relationships without hallucinating.
Modernize the Medallion Stack: Implement cutting-edge, resilient lakehouse patterns-including stream processing, event-driven pipelines, and schema-on-read ingestion-to feed the canonical layers seamlessly.

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Information Technology or similar major
5+ years of experience in data engineering and data architecture in a dedicated Enterprise or Domain Architect capacity.
Proven track record of designing, scaling, and implementing Canonical Models and Semantic Layers that sit on top of massive Enterprise Data Lakes/Lakehouses.
5+ years of experience with modern cloud data platforms, specifically possessing deep architectural knowledge in at least one of the following: Snowflake (Dynamic Tables, Cortex, Horizon), Databricks (Unity Catalog, Delta Live Tables), or Microsoft Fabric (OneLake, Semantic Models), alongside cloud ecosystems like AWS or Azure.

Define the vision, requirements, and roadmap for an Enterprise Ontology and Semantic Layer that acts as the "world map" and central source of truth for Agentic AI, LLM prompting, and GraphRAG systems.

rientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law

This listing is sourced directly from Warner Bros. Discovery's careers page and normalized into a canonical job model.