Senior Staff Data Engineer – Ad Tech, AWS Experience

. Designing and delivering data pipelines that process billions of ad events daily across WBD’s global ecosystem .

Posted 5/21/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $175,070 - $325,130 per yearWebsite

Tools & technologies

AWSAzureCloudDistributed SystemsETLGoogle Cloud PlatformKafkaSpark

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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Hard Skills & Tools

data pipelinesETLcloud-native systemsbig data engineeringAWSGCPAzureSparkFlinkPresto

Soft Skills

mentoringcollaborationbest practicescommunicationleadership