About the role

Role Overview

Lead Compute Platform Engineer on the Data Platform team, responsible for building and running the data infrastructure that powers Zeta’s platform (including the lakehouse platform). The team focuses on reliable, cost-efficient data processing that scales with growth.

What You’ll Do

Operate and implement new features in the framework and services managed by the team
Partner with data scientists to improve their experience and productivity using the framework and services
Develop and deploy next-generation platform technology in close collaboration with teams in San Francisco and Berlin
Grow the team through mentoring, code reviews, and knowledge sharing

Core Platform / Environment

Scala-based data warehouse framework for data modeling and type-safe, easily testable batch jobs
Orchestrated compute environment to simplify Spark job execution for large-scale data processing
Hadoop clusters running on EC2 spot instances with dynamic scaling for high utilization and stability

Requirements

Senior-level experience building and operating data/compute infrastructure and frameworks
Strong software engineering practices (e.g., mentoring, code reviews, collaborative development)

Nice to Have

Experience with Spark, Hadoop, and cloud-based dynamic compute orchestration (spot instances)
Familiarity with type-safe Scala data modeling and testable batch job frameworks

About zetaglobal

Zeta Global is an AI-powered marketing cloud company (NYSE: ZETA) that helps marketers acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform, it unifies identity, intelligence, and omnichannel activation using AI and large proprietary data assets to personalize experiences across channels.

Tags