Sr. Staff Data Engineer, Data Platform, Cnn Digital Products & Services

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

Sr. Staff Data Engineer to serve as the technical authority for CNN’s Data Platform, defining and executing the platform’s data strategy, architecting systems that transform raw event data into business-ready intelligence, and enabling teams across CNN to build on a shared, reliable data ecosystem. This role will set the architectural direction, drive technical standards, and mentor engineers.

What you'd actually do

  1. Set the architectural direction for CNN’s Data Platform — own data modeling, schema design, and platform capabilities that serve Analytics, Data Science, ML, and AI teams
  2. Architect and deliver scalable data pipelines for both real-time streaming and batch processing, from event collection through transformation to business-ready datasets
  3. Enable cross-functional teams by defining data platform APIs, data contracts, and self-service capabilities that make it easy for engineers and analysts to build on the platform
  4. Drive data quality and governance standards — establish frameworks for data validation, lineage tracking, and quality monitoring across the platform
  5. Influence technical strategy across multiple engineering teams — contribute significantly to planning, prioritize strategic architecture investments, and drive alignment on platform direction

Skills

Required

  • 10+ years of software engineering experience with deep expertise in data engineering, data platform architecture, and large-scale data systems
  • 7+ years of experience with cloud technology (AWS, GCP, or Azure), including data-specific services (e.g., EMR, Glue, S3, Athena, Redshift)
  • Strong expertise in data processing frameworks (Spark, Flink, or equivalent) and orchestration tools (Airflow, Dagster, or equivalent)
  • Experience with data modeling, ETL architecture, and designing schemas that serve diverse analytical and ML use cases
  • Strong programming experience across at least two of Java, Go, Python, and SQL
  • Previous experience working with Snowflake, Databricks, or other modern enterprise data warehouses
  • Demonstrated experience leading technical direction and setting engineering standards across multiple teams

Nice to have

  • Experience working on end-to-end analytics pipelines from event collection to producing business-ready semantics
  • Deep familiarity with dbt or similar transformation frameworks
  • Experience with streaming and event-driven architectures (Kafka, Kinesis, Flink) at scale
  • Experience building or supporting AI/ML pipelines, feature stores, or model training infrastructure
  • Familiarity with data governance, data quality frameworks, and data cataloging tools
  • Experience in media, streaming, digital advertising, or consumer-facing products at scale

What the JD emphasized

  • technical authority
  • define and execute the platform’s data strategy
  • architect the systems
  • set the architectural direction
  • drive technical standards
  • mentor engineers
  • define how a global newsroom’s data infrastructure works — not just build features on it
  • own data modeling, schema design, and platform capabilities
  • Architect and deliver scalable data pipelines
  • Enable cross-functional teams
  • Drive data quality and governance standards
  • Influence technical strategy
  • Mentor and provide growth-centered feedback
  • Communicate designs, architectural decisions, and technical tradeoffs clearly
  • Evangelize and oversee implementation of data engineering best practices
  • deep expertise in data engineering, data platform architecture, and large-scale data systems
  • leading technical direction and setting engineering standards across multiple teams — not just executing, but defining how teams build