Staff Data Engineer

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Opportunity 

We are looking for a Staff Data Engineer to lead the design and implementation of a unified semantic data layer that spans all of Zeta’s data sources—both data at rest and data in motion. This role sits at the intersection of data engineering, platform architecture, and AI enablement. You will be responsible for building a middleware semantic layer (using Cube Core or similar technologies) that exposes clean, governed, multi-tenant data via standardized APIs and tool interfaces, enabling AI agents and LLMs to query, reason over, and act on Zeta’s data with high performance, security, and compliance. 

This is a high-impact, high-visibility role that will shape how Zeta’s AI systems consume and interact with data across the organization. 

What You’ll Do 

Semantic Layer Architecture & Development 

• Design and build a centralized semantic data layer using Cube Core (or equivalent technology such as Headless BI, dbt Metrics Layer, or Metriql) that provides a unified, governed abstraction over all company data sources. 

• Define semantic models, metrics, dimensions, and relationships that map to business domains across marketing, advertising, identity resolution, and customer analytics.