Staff Data Engineer

Design and maintain scalable data pipelines processing billions of ad events daily, ensuring low-latency, reliability, and cost-efficiency in cloud-native environments.

Modernize legacy ad-tech workflows into modular, lakehouse-based systems (e.g., Iceberg, Delta, Hudi) with built-in observability and automation to improve resiliency and reduce technical debt.

Collaborate cross-functionally to operationalize ML models and deliver privacy-compliant downstream data for ad activation and identity systems; provide architectural leadership and mentor engineering teams.

8+ years of experience designing and operating enterprise-scale, high-throughput data platforms and pipelines.

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science or related field.

Hands-on expertise with cloud platforms (AWS/GCP/Azure), open table formats (Iceberg, Delta, Hudi), and distributed processing frameworks (Spark, Flink, Presto).

Deep knowledge of streaming/real-time ingestion systems (Kafka, Kinesis, Pub/Sub).

Experienced in architecting and modernizing large-scale ad-tech data systems focusing on forecasting, yield optimization, and campaign execution domains.

Strong operational skills in CI/CD, automation, observability, and governance applied to enterprise-grade data engineering.

Demonstrated ability to lead and mentor engineers while effectively partnering with data science, product, and platform teams in a global environment.