As a Senior Data Platform Engineer, you will build and operate the data infrastructure that supports Zeta’s products, analytics, machine learning, and AI systems.
Build and operate Lakehouse, Spark, and distributed data-processing systems.
Improve the performance, reliability, cost, and operational visibility of platform workloads.
Develop capabilities for data quality, governance, lineage, metadata, discoverability, security, and access control.
Build the data context required for trusted reporting, ML models, and AI agents.
Strong experience in 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 at least 1 of these areas: Lakehouse architecture, Apache Iceberg, data quality, governance, lineage, metadata, query engines, or real-time OLAP.
Experience: Senior-level · 7+ years
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