Job description

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 ROLE 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. This is a broad platform role. Engineers on the team take ownership across Lakehouse architecture, distributed compute, data quality, governance, lineage, security, access controls, and the operational systems that keep the platform running. Individual focus areas will change with team priorities, and you will contribute across the platform as needed. The team also develops tooling for type-safe, testable data pipelines and operates Spark workloads on dynamically sized Hadoop clusters backed by EC2 Spot instances. We work closely with data engineers, data scientists, infrastructure teams, and product teams to make data dependable, easy to find, secure to use, and cost-effective to process. This is a hybrid role based out of either our San Mateo, CA or San Francisco, CA office. RESPONSIBILITIES 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. Evaluate compute and query engines for read-heavy workloads, assessing cost, performance, reliability, and operational fit. Assess real-time OLAP technologies and identify appropriate production use cases. Improve deployment, observability, incident response, developer tooling, and platform operations. Partner with data scientists and data engineers to improve their experience using the platform. Contribute fixes and improvements to relevant open-source projects, including Spark, Iceberg, and Airflow. Mentor engineers through code reviews, pairing, design discussions, and knowledge-sharing sessions. QUALIFICATIONS 7+ years of software engineering experience. 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. Working knowledge of AWS services such as 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. BENEFITS & PERKS   Unlimited PTO  Excellent medical, dental, and vision coverage  Employee Equity and Stock Purchase Plan  Employee Discounts, Virtual Wellness Classes, andPet Insurance And more!!  SALARY RANGE   The salary range for this role is $165,000 - $185,000, depending on location and experience.   PEOPLE & CULTURE AT ZETA   Zeta considers applicants for employment without regard to and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  zetaglobal.com   ZETA IN THE NEWS!   zetaglobal.com   #LI-YW1

Requirements

Must-haves

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.
This is a hybrid role based out of either our San Mateo, CA or San Francisco, CA office.
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.
Evaluate compute and query engines for read-heavy workloads, assessing cost, performance, reliability, and operational fit.
Assess real-time OLAP technologies and identify appropriate production use cases.
Improve deployment, observability, incident response, developer tooling, and platform operations.
Partner with data scientists and data engineers to improve their experience using the platform.
Contribute fixes and improvements to relevant open-source projects, including Spark, Iceberg, and Airflow.
Mentor engineers through code reviews, pairing, design discussions, and knowledge-sharing sessions.
7+ years of software engineering experience.
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.
Working knowledge of AWS services such as EC2, S3, Athena, and IAM.
Experience improving production reliability through monitoring, alerting, deployment automation, and incident response.
Strong analytical, communication, and collaboration skills.
BENEFITS & PERKS
Employee Equity and Stock Purchase Plan
Employee Discounts, Virtual Wellness Classes, andPet Insurance And more!!

Nice-to-haves

Experience with Kubernetes, Terraform, Airflow, Trino, ClickHouse, Starrocks, or Pinot is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigomachine learningmlpythonjavaawskubernetes

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Pto

Wellness