Senior Staff Data Engineer – Ad Tech, AWS Experience

🕒 May 21

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Warner Bros. Discovery

WebsiteLinkedInAll Job Openings

10,000+ employees

📱 Media

📡 Telecommunications

Media • Entertainment • Telecommunications

Warner Bros. Discovery is a global media and entertainment company known for producing and distributing films, television shows, and other content across various platforms. It operates various well-known brands and franchises, offering a broad range of entertainment to audiences around the world.

📋 Description

• Designing and delivering data pipelines that process billions of ad events daily across WBD’s global ecosystem • Setting technical standards for distributed data engineering • Driving modernization of legacy workflows into modular cloud-native systems • Ensuring mission-critical data is delivered reliably, securely, and cost-efficiently for monetization and decisioning • Designing and maintaining ingestion, ETL, and activation pipelines supporting real-time and batch processing of multi-billion event datasets • Optimizing data workflows for latency, reliability, and scalability in cloud-native environments • Modernizing legacy ad-tech systems into open, lakehouse-based architectures (Iceberg, Delta, Hudi) for unified analytics and monetization • Partnering with Data Science to operationalize ML models for forecasting, optimization, and personalization • Ensuring downstream data delivery into ad servers, identity systems, and activation platforms is low-latency and privacy-compliant • Acting as a domain expert in distributed systems, streaming, and big data engineering • Mentoring junior engineers, sharing best practices, and elevating engineering standards across global teams

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field • 12+ years of experience designing and operating enterprise-scale data platforms with high-throughput pipelines • Hands-on expertise with AWS/GCP/Azure, open table formats (Iceberg, Delta, Hudi), and distributed compute (Spark, Flink, Presto) • Deep knowledge of Kafka, Kinesis, or Pub/Sub for powering low-latency ingestion and activation • Skilled in CI/CD, automation, observability, and governance frameworks for enterprise-grade data engineering • Familiarity with advertising workflows including forecasting, yield optimization, identity, and campaign execution • Demonstrated ability to partner with data scientists, product, and platform engineering, while mentoring junior engineers

🏖️ Benefits

• health insurance coverage • employee wellness program • life and disability insurance • retirement savings plan • paid holidays and sick time • vacation