Six Figure Work

Staff Data Architect, CNN Data Analytics, Science & Insights.

Warner Bros

Company websitewarnerbros.com (Warner Bros, opens in new tab)

Base salary $136,500  to $253,500

Employer-published annual base salary, USD. Advertised base range in United States

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  • LocationUnited States
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (35 min ago) · observed since

About this job

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.

To see what it’s like to work at CNN, follow @WBDLife on Instagram and X!

To see what it’s like to work at CNN, follow @WBDLife on Instagram and X!
We are CNN. The world’s most essential and engaging source of digital news. We are in the midst of rapid transformation and are looking for the next generation of innovators, makers, and dreamers to help lead our growth and shape the future of news.

Your New Role…
The Staff Data Architect plays a critical, hands‑on role in evolving and strengthening CNN’s modern data ecosystem. This is a platform‑focused role for a senior technologist who thrives at scale—designing and implementing robust, performant, and governed data architecture that powers analytics, reporting, and decision‑making across the organization.


You’ll combine deep technical expertise with practical leadership, helping define architecture and modeling standards, mentoring engineers and analysts, and partnering closely with platform and analytics teams to deliver reliable, scalable data systems. This role is ideal for someone passionate about improving time‑to‑insight, driving metric consistency, and building trusted semantic data models across a high‑impact analytics platform.

Your Role Accountabilities…

  • Design and implement scalable data architecture patterns on Snowflake to support high‑volume event and analytics workloads, with a strong focus on performance, security, and cost efficiency through query optimization, warehouse sizing, storage management, and governance best practices.

  • Lead the technical design and implementation of complex data systems and platform enhancements, establishing and maintaining architecture and data modeling standards that promote consistency, scalability, and reliability across Snowflake and dbt workflows.

  • Define and implement secure, scalable data access patterns, leveraging role‑based access control and managed access schemas to ensure data is governed, auditable, and accessible to the right audiences.

  • Design and operate data quality and observability frameworks, using dbt tests and monitoring tools to track pipeline health, latency, and freshness, and to continuously improve platform reliability and operational visibility.

  • Partner closely with platform engineering and analytics teams to improve system reliability, scalability, and operational efficiency, contributing to platform architecture planning and technical roadmaps.

  • Translate complex analytics and business requirements into clean, well‑governed semantic data models that enable trusted self‑service analytics and consistent metrics across BI tools.

  • Define and implement data lifecycle and retention strategies that balance performance, cost efficiency, compliance, and data availability across the analytics platform.

  • Act as a technical mentor and thought leader, helping grow the skills of engineers and analysts and raising the overall bar for data architecture and engineering practices.



Qualifications & Experience…

  • 5–8 years of experience in data engineering, data architecture, or a related field, with demonstrated ownership of production data systems or platform components.

  • Deep expertise in cloud data warehousing, with hands‑on experience in Snowflake, including performance tuning, security design, cost optimization, and large‑scale data modeling.

  • Strong experience designing and maintaining dbt‑based transformation workflows, including testing, performance optimization, and deployment best practices.

  • Experience working with event or clickstream data, ideally using Snowplow or comparable technologies, and a strong understanding of instrumentation and processing challenges at scale.

  • Proven ability to design and implement semantic layers and analytics‑ready data models that serve as a trusted source of truth for BI tools such as Looker, Tableau, or Domo.

  • Excellent communication and stakeholder engagement skills, with the ability to explain complex technical concepts to non‑technical audiences, influence architectural decisions, and build alignment across teams.


Nice to Haves…

  • Experience with Customer Data Platforms (CDPs).

  • Experience with data orchestration tools such as Airflow or Dagster.

  • Familiarity with data privacy and compliance requirements (e.g., GDPR, CCPA).

  • Experience working in the media, publishing, or digital content industry.

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, 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.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $136,500.00 - $253,500.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.

Source: Warner Bros on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($136,500) is above 24% of the 3,617 Data & ML roles nationwide listed on this site. Their median floor is $170,000; the middle half runs from $138,400 to $200,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Warner Bros roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Warner Bros roles with the nearest advertised base floor
RolePublished base
Staff Data Architect, CNN Data Analytics, Science & Insights. (this listing)$136,500 - $253,500
Sr. Product Manager, Financial Solutions (Order to Cash)$136,920 - $254,280
Cloud Security Architect$133,140 - $247,260
Staff Product Manager, Developer Experience$133K - $247K
Staff Product Manager, New Business Underscored$133K - $247K
Senior Software Engineer (Advertising Technology - AWS experience required)$131,600 - $244,400
Senior Software Engineer$130,970 - $243,230

Same $100K to $400K scale as every card. All Warner Bros roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-23
Where this pay comes from

Location as the employer wrote it: NY New York 30 Hudson Yards • GA Atlanta 1050 Techwood Drive NW • DC Washington 820 1st Street NE

ion, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $136,500.00 - $253,500.00 salary per year. Other rewards may include annual bonuses,

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.