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Staff Data Architect (CNN Data Analytics, Science & Insights) at Warner Bros Discovery · Katori

Asks for

The ad says“Deep expertise in cloud data warehousing, with hands‑on experience in Snowflake, including performance tuning, security design, cost optimization, and large‑scale data modeling”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“Strong experience designing and maintaining dbt‑based transformation workflows, including testing, performance optimization, and deployment best practices”
The ad says“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”
The ad says“Deep expertise in cloud data warehousing, with hands‑on experience in Snowflake, including performance tuning, security design, cost optimization, and large‑scale data modeling”
The ad says“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”
The ad says“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”
The ad says“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”

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
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

Preferred 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
Strong experience designing and maintaining dbt‑based transformation workflows, including testing, performance optimization, and deployment best practices
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
Deep expertise in cloud data warehousing, with hands‑on experience in Snowflake, including performance tuning, security design, cost optimization, and large‑scale data modeling
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
Experience working with event or clickstream data, ideally using Snowplow or comparable technologies, and a strong understanding of instrumentation and processing challenges at scale
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
Experience with data orchestration tools such as Airflow or Dagster
Experience with Customer Data Platforms (CDPs)
Experience working in the media, publishing, or digital content industry
Familiarity with data privacy and compliance requirements (e.g., GDPR, CCPA)

Asks for

Values

Preferred experience