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Senior Engineer, Data Platform

Full-time

Zeta Global

Responsibilities

  • Build and operate Lakehouse, Spark, and distributed data-processing systems.
  • Improve platform workload performance, reliability, cost efficiency, and operational visibility.
  • Develop data quality, governance, lineage, metadata, discoverability, security, and access-control capabilities.
  • Build trusted data foundations for reporting, machine learning models, and AI agents.
  • Evaluate compute, query, and real-time OLAP engines for production use.
  • Improve deployment, observability, incident response, developer tooling, and platform operations.
  • Partner with data scientists and data engineers to improve their platform experience.
  • Contribute fixes and improvements to open-source projects including Spark, Iceberg, and Airflow.
  • Mentor engineers through reviews, pairing, design discussions, and knowledge sharing.

Requirements

  • 7+ years of software engineering experience.
  • Strong experience with Python, Scala, Java, or another JVM language.
  • Experience with Spark or another distributed data-processing framework.
  • Experience building or operating production data platforms, backend systems, or distributed systems.
  • Familiarity with Lakehouse architecture, Apache Iceberg, data quality, governance, lineage, metadata, query engines, or real-time OLAP.
  • Working knowledge of AWS services including EC2, S3, Athena, and IAM.
  • Experience improving production reliability through monitoring, alerting, deployment automation, and incident response.
  • Strong analytical, communication, and collaboration skills.
  • Experience with Kubernetes, Terraform, Airflow, Trino, ClickHouse, Starrocks, or Pinot is a plus.
Vacancy posted 1 day ago
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