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

Warner Bros Discovery Warner Bros Discovery · Media · New York, NY +3 · Data & Research

Staff Data Architect role focused on designing and implementing scalable data architecture patterns on Snowflake for analytics, reporting, and decision-making. Responsibilities include leading technical design, defining standards, implementing access patterns, operating data quality frameworks, and mentoring engineers. Requires deep expertise in cloud data warehousing (Snowflake), dbt, and event/clickstream data.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Partner closely with platform engineering and analytics teams to improve system reliability, scalability, and operational efficiency, contributing to platform architecture planning and technical roadmaps.

Skills

Required

  • 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
  • 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
  • Strong understanding of instrumentation and processing challenges at scale
  • Proven ability to design and implement semantic layers and analytics‑ready data models
  • Excellent communication and stakeholder engagement skills
  • Ability to explain complex technical concepts to non‑technical audiences
  • Ability to influence architectural decisions
  • Ability to build alignment across teams

Nice to have

  • 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