Senior Data Architect

Warner Bros. Discovery

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Atlanta, GA
Posted
77 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $182k
$133k most similar roles pay here $226k

This listing doesn't post a salary. Most similar roles pay $147,925–$216,587.

Based on 240 similar postings.

Employer

About Warner Bros. Discovery

Warner Bros. Discovery is a global media and entertainment company operating a broad portfolio of iconic content and brands including Warner Bros. film studio, HBO, CNN, Discovery Channel, and Max streaming service. Industry: Media & Entertainment

Warner Bros. Discovery currently has 55 open roles on FindRole.

Listed pay typically runs $131,985–$245,115 across 38 roles with salary data.

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At a glance

TL;DR · Senior Data Architect

As a Sr. Data Architect within the Enterprise Data & Analytics Group, you will treat data as a strategic asset to power next-generation Agentic AI ecosystems. You will co-own the design of the foundational AI Context Layer, creating an enterprise ontology and semantic layers to serve as a central source of truth for LLM prompting and GraphRAG systems. Your daily responsibilities include building canonical data products from heterogeneous sources, modernizing the medallion stack with stream processing, and operationalizing MLOps and LLMOps pipelines. You will utilize technologies including Snowflake, Databricks, Microsoft Fabric, AWS, Azure, and dbt/Cube. Key skills involve advanced data modeling in Relational, Dimensional, and Data Vault 2.0 paradigms to ensure machine-readable consistency. This role solves the challenge of bridging physical big data performance with semantic meaning for complex enterprise relationships.

What you'll do

  • Architect the AI Context Layer to serve as a central source of truth for Agentic AI and GraphRAG systems.
  • Design and deploy semantic abstraction layers using tools like Snowflake, Databricks, or dbt to expose canonical data via APIs.
  • Lead the design and consolidation of heterogeneous data sources into unified, cleansed Canonical Models.
  • Modernize the medallion stack by implementing stream processing and event-driven pipelines for the lakehouse.
  • Partner with ML/DevOps teams to architect MLOps and LLMOps processes for managing feature stores and vector embeddings.
  • Develop and enforce enterprise-wide standards for metadata management, data contracts, and semantic version control.
  • Implement data quality and identity resolution frameworks to manage complex object hierarchies across the enterprise.
  • Manage and optimize cloud compute and storage consumption to maintain platform ROI for AI workloads.

What we're looking for

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Information Technology, or a 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 on top of massive Enterprise Data Lakes/Lakehouses.
  • 5+ years of experience with modern cloud data platforms including Snowflake, Databricks, or Microsoft Fabric within AWS or Azure ecosystems.
  • Advanced skills in multiple data modeling paradigms, including Relational, Dimensional (Kimball), Data Vault 2.0, and Graph-native concepts.
  • Demonstrated ability to build, maintain, and version-control an ontology or semantic map for unified business entity layers.
  • Solid understanding of FinOps to manage and optimize cloud compute and storage consumption.

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