Warner Bros. Discovery

Digital News

StaffDataArchitect,CNNDataAnalytics,Science&Insights

$137–254k New York, New York, United States FULL TIME
The Brief

“Staff Data Architect, CNN Data Analytics, Science & Insights at Warner Bros. Discovery. Skills: Data Architecture, Snowflake, dbt, Data Modeling. Design scalable data architecture. Implement data architecture patterns”

What You'll Achieve.

powers analytics; reporting; decision-making; reliable; scalable data systems; trusted self-service analytics; consistent metrics

Industry & Context.

Digital News
Problems you'll solve

improving time-to-insight; driving metric consistency; building trusted semantic data models

What They're Looking For.

Must Have

5–8 years of experience in data engineering, data architecture, cloud data warehousing, Snowflake, dbt-based transformation workflows, event or clickstream data, semantic layers, analytics-ready data models, Looker, Tableau, Domo, communication skills, stakeholder engagement skills

Nice to Have

Customer Data Platforms (CDPs), data orchestration tools, Airflow, Dagster, data privacy and compliance requirements, GDPR, CCPA, media, publishing, digital content industry

What You'll Do.

Design scalable data architecture

Implement data architecture patterns

Lead technical design

Implement complex data systems

Establish architecture standards

Maintain data modeling standards

Define data access patterns

Implement data access patterns

Design data quality frameworks

Operate data quality frameworks

Design data lifecycle strategies

Implement data lifecycle strategies

Define data retention strategies

Implement data retention strategies

Act as technical mentor

Raise bar for data practices

How You'll Work.

Team & Collaboration

Partner closely with platform engineering; Partner closely with analytics teams; Explain complex technical concepts; Influence architectural decisions; Build alignment across teams

Communication Scope

Excellent communication skills; stakeholder engagement skills; explain complex technical concepts; non-technical audiences

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