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Warner Bros. Discovery
Staff Data Engineer
Warner Bros. Discovery
Hyderabad•On-site•8-11 Yrs•5 days ago
Job description
Data EngineeringStaff EngineerAdTechCloud Native
Overview
Staff Data Engineer responsible for designing and delivering data pipelines that process billions of ad events daily across WBD’s global ecosystem. Role requires modernization of legacy workflows into modular cloud-native systems while ensuring mission-critical data delivery reliably, securely, and cost-efficiently.
Responsibilities
- 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
- 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
- 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
- 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
- Bachelor’s or Master’s degree in Computer Science, Engineering, Sata Science or related field
- 8+ 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
Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, Sata Science or related field
Benefits
- Career defining opportunities
- Thoughtfully curated benefits
- Tools for exploration and growth into best selves
- Supportive, celebrated, and thriving work environment
- Equal opportunity employer committed to diversity and inclusion