Warner Bros. Discovery
Ad Tech
SeniorStaffDataEngineer(AdTechTeam-AWSexperiencerequired)
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“Senior Staff Data Engineer (Ad Tech Team - AWS experience required) at Warner Bros. Discovery. Skills: Data pipeline engineering, Cloud architectures, Streaming systems, Architectural leadership. Design and deliver data pipelines. Process billions of ad events daily”
What You'll Achieve.
Deliver data pipelines; Process billions of ad events daily; Modernize legacy workflows into modular cloud-native systems; Ensure mission-critical data is delivered reliably, securely, and cost-efficiently; Reduce technical debt; Improve resiliency; Ensure low-latency and privacy-compliant data delivery
Industry & Context.
What They're Looking For.
Must Have
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), distributed compute (Spark, Flink, Presto), Deep knowledge of Kafka, Kinesis, or Pub/Sub, Skilled in CI/CD, automation, observability, 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, mentoring junior engineers
Nice to Have
PhD preferred for advanced expertise in distributed systems or statistical optimization, Kubernetes a plus
What You'll Do.
Design and deliver data pipelines
Process billions of ad events daily
Set technical standards for distributed data engineering
Drive modernization of legacy workflows
Ensure mission-critical data is delivered reliably
Design and maintain ingestion pipelines
Optimize data workflows for latency
Modernize legacy ad-tech systems
and automation frameworks
Partner with Data Science to operationalize ML models
Ensure downstream data delivery into ad servers
Act as a domain expert in distributed systems
Mentor junior engineers
Elevate engineering standards
How You'll Work.
Team & Collaboration
Partner with Data Science; Partner with product; Partner with platform engineering; Collaborate with global teams
Full Job Description
**_Welcome to Warner Bros. Discovery… the stuff dreams are made of._** **Who We Are…** When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. **_Your New Role_****:** The Senior Staff Data Engineer is accountable for designing and delivering data pipelines that process **billions of ad events daily** across WBD’s global ecosystem. This role sets technical standards for distributed data engineering, drives modernization of legacy workflows into modular cloud-native systems, and ensures mission-critical data is delivered reliably, securely, and cost-efficiently for monetization and decisioning. **_Your Role Accountabilities:_** **High-Scale Data Pipeline Engineering** · Design and maintain ingestion, ETL, and activation pipelines supporting real-time and batch processing of **multi-billion event datasets**. · Optimize data workflows for latency, reliability, and scalability in cloud-native environments. **Platform Modernization & Lakehouse Development** · Modernize legacy ad-tech systems into open, **lakehouse-based architectures** (Iceberg, Delta, Hudi) for unified analytics and monetization. Embed observability, data lineage, and automation frameworks to reduce technical debt and improve resiliency. **Cross-Functional Data Delivery** · Partner with Data Science to operationalize ML models for forecasting, optimization, and personalization. · Ensure downstream data delivery into ad server
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