Staff Data Architect

Warner Bros. Discovery

Remote

Quick summary

Work type: Remote
Location: Burbank, CA
Salary: $146,440–$271,960 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k

This role $209k

$117k most similar roles pay here $289k

This role pays more than 73% of similar roles. Most pay $133,781–$211,200 — the shaded band above. At the midpoint, this role pays about $209k versus about $172k for comparable roles.

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 69 open roles on FindRole.

Listed pay typically runs $133,070–$247,130 across 48 roles with salary data.

Most-posted roles

View all roles at Warner Bros. Discovery

At a glance

TL;DR · Staff Data Architect

Role Posting Log in to save

Join our expanding Enterprise Data & Analytics Group as a Staff Data Architect and lead the modernization of our cloud data platform to support advanced Agentic AI systems. You will collaborate with research, engineering, and product teams to design robust enterprise data architectures that bridge physical data layers with semantic business context. Key responsibilities include architecting Snowflake Lakehouse solutions, building canonical models in the Silver layer, and designing Semantic Views for accurate data querying and reasoning. Utilize Snowflake Cortex Analyst and Search to ensure AI agents achieve high accuracy without hallucinations, and leverage Snowflake Horizon for robust governance frameworks. With a focus on Data Governance & Contracts, you will establish data quality standards and maintain compliance across various business units. Ideal candidates have 8+ years of enterprise data architecture experience with deep expertise in Snowflake technologies, including Dynamic Tables and Semantic Views, alongside advanced SQL skills and knowledge of AI context integration.

Skills

Snowflake SQL Python Snowpark ETL ELT Data Governance Cloud Data Technologies Snowflake Cortex Snowflake Semantic Views Snowflake Dynamic Tables Snowflake Horizon Data Modeling AI Orchestration Recursive CTEs Analytical Window Functions VARIANT Parsing Column/Row-Level Security Data Quality Guardrails

What you'll do

Design and implement Snowflake Lakehouse Architecture for optimized canonical processing.
Build consolidated entity tables in the Silver layer from mismatched raw data schemas.
Create native Snowflake Semantic Views to establish authoritative business definitions.
Configure Snowflake Cortex Analyst/Search for high accuracy AI agent queries.
Develop ontology tracking and entity-relationship traversing within Snowflake using SQL.

What we're looking for

8+ years of enterprise data architecture experience with a focus on Snowflake ecosystems
Expert-level command in relational modeling and dimensional design for canonical schemas
Proven experience with Snowflake Semantic Views, Cortex AI, Horizon, and Dynamic Tables
Advanced SQL skills including complex queries and semi-structured VARIANT parsing
Deep understanding of integrating AI context with structured enterprise data and APIs
Experience designing ETL/ELT processes and scalable data storage solutions
Bachelor's degree in computer science or related field required

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