Staff Data Engineer

Welcome to Warner Bros. Discovery the stuff dreams are made of.

Who We Are

When we say the stuff dreams are made of were not just referring to the world of wizards dragons and superheroes or even to the wonders of Planet Earth. Behind WBDs 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 whats 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 Staff Data Engineer is responsible for designing and delivering data pipelines that process billions of ad events daily across WBDs global ecosystem. This role follows 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 servers identity systems and activation platforms is low-latency and privacy-compliant

Architectural Leadership & Mentorship

Act as a domain expert in distributed systems streaming and big data engineering.

Mentor junior engineers share best practices and elevate engineering standards across global teams.

Qualifications & Experience

Education: Bachelors or Masters degree in Computer Science Engineering Sata Science or related field.

Data Engineering Expertise: 8 years of experience designing and operating enterprise-scale data platforms with high-throughput pipelines.

Cloud & Lakehouse Architectures: Hands-on expertise with AWS/GCP/Azure open table formats (Iceberg Delta Hudi) and distributed compute (Spark Flink Presto).

Streaming & Real-Time Systems: Deep knowledge of Kafka Kinesis or Pub/Sub for powering low-latency ingestion and activation.

Operational Excellence: Skilled in CI/CD automation observability and governance frameworks for enterprise-grade data engineering.

AdTech Domain Knowledge: Familiarity with advertising workflows including forecasting yield optimization identity and campaign execution.

Collaboration & Mentorship: Demonstrated ability to partner with data scientists product and platform engineering while mentoring junior engineers.

How We Get Things Done

This last bit is probably the most important! Here at WBD our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

If youre a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process please visit our accessibility page for instructions to submit your request.