Staff Data Architect

Warner Bros. Discovery

Confirmed live today High trust
Closes in 3 days Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYAtlanta, GAWashington, DC
Salary
$136,500–$253,500 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today
Closes
Oct 30, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $195k
$122k $275k
below market most similar roles pay here above market

This role pays less than 61% of similar roles. Most pay $167,183–$241,750 — the blue band above. At the midpoint, this role pays about $195k versus about $204k 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 58 open roles on FindRole.

Listed pay typically runs $132,300–$245,700 across 24 roles with salary data.

Most-posted roles

View all roles at Warner Bros. Discovery

At a glance

TL;DR · Staff Data Architect

JOB TITLE: Staff Data Architect, CNN Data Analytics, Science & Insights. The Staff Data Architect joins the CNN Data Analytics, Science & Insights team to evolve and strengthen the modern data ecosystem. This platform-focused role involves designing and implementing robust, performant, and governed data architecture to power analytics, reporting, and organizational decision-making. Key responsibilities include establishing data modeling standards, mentoring engineers, and building scalable data systems. You will utilize Snowflake for cloud data warehousing, dbt for transformation workflows, and tools like Snowplow for event or clickstream data. The role requires creating semantic data models for BI tools such as Looker, Tableau, or Domo. You will solve technical problems related to query optimization, warehouse sizing, role-based access control, and data quality observability to improve time-to-insight and metric consistency across the analytics platform.

What you'll do

  • Design and implement scalable data architecture patterns on Snowflake for high-volume event and analytics workloads.
  • Establish and maintain data modeling standards to ensure consistency and reliability across Snowflake and dbt workflows.
  • Define and implement secure data access patterns using role-based access control and managed access schemas.
  • Operate data quality and observability frameworks using dbt tests to monitor pipeline health and latency.
  • Translate business requirements into well-governed semantic data models to enable self-service analytics in BI tools.
  • Define data lifecycle and retention strategies to balance performance, cost efficiency, and regulatory compliance.
  • Mentor engineers and analysts to improve technical skills and elevate data architecture practices.
  • Partner with platform engineering teams to contribute to technical roadmaps and improve system scalability.

What we're looking for

  • 5–8 years of experience in data engineering, data architecture, or a related field.
  • Demonstrated ownership of production data systems or platform components.
  • Deep expertise in cloud data warehousing with hands-on experience in Snowflake.
  • Strong experience designing and maintaining dbt-based transformation workflows.
  • Experience working with event or clickstream data, ideally using Snowplow or comparable technologies.
  • Proven ability to design and implement semantic layers and analytics-ready data models for BI tools.
  • Excellent communication skills to explain complex technical concepts to non-technical audiences.
  • Experience with CDPs, orchestration tools like Airflow or Dagster, or media industry experience (preferred).

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