Senior Data Engineer - Lead Real-Time Pipelines & Lakehouse

Z1 Discovery Communications LLC

Atlanta (GA)

Hybrid

USD 144,000 - 268,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
Wellness program
Life and disability insurance
Retirement savings plan
Paid holidays
Paid sick time
Paid vacation

Job summary

Warner Bros. Discovery is seeking a Senior Staff Data Engineer to design and deliver data pipelines processing billions of ad events daily. You will set technical standards, modernize legacy workflows, and ensure secure, cost-efficient data delivery for monetization and decisioning.

You will lead architectural direction, mentor engineers, and collaborate with Data Science to operationalize ML models, while ensuring privacy-compliant data delivery to ad servers and activation platforms.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • PhD preferred for advanced expertise in distributed systems or statistical optimization.

Responsibilities

  • Design and maintain high-scale data pipelines for real-time and batch processing of multi-billion datasets.
  • Modernize legacy ad-tech systems into lakehouse architectures for analytics and monetization.
  • Partner with Data Science to operationalize ML models for forecasting and personalization.
  • Mentor junior engineers and elevate engineering standards across global teams.

Skills

12+ years experience
Distributed systems
Streaming platforms
Cloud architectures
Lakehouse tech
CI/CD & observability
AdTech knowledge
Mentorship

Education

Bachelor's/Master's degree
PhD preferred

Tools

AWS
GCP
Azure
Spark
Flink
Presto
Iceberg
Delta Lake
Hudi

Job description

Warner Bros. Discovery is seeking a Senior Staff Data Engineer to design and deliver data pipelines processing billions of ad events daily. You will set technical standards, modernize legacy workflows, and ensure secure, cost-efficient data delivery for monetization and decisioning.

You will lead architectural direction, mentor engineers, and collaborate with Data Science to operationalize ML models, while ensuring privacy-compliant data delivery to ad servers and activation platforms.

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