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Senior Software Engineer, Data Platform

San Francisco, CA

Pay
$165,000–185,000/yearAnnual period assumed · Location-specific pay — pay source
SALARY RANGE The salary range for this role is $165,000 - $185,000, depending on location and experience. PEOPLE & CULTURE AT ZETA
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Work setup
Hybrid stated — work setup source
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
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Employment
Unconfirmed
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What you’ll work on

Full posting
  • 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.

From the employer’s posting
RESPONSIBILITIES Build and operate Lakehouse, Spark, and distributed data-processing systems. Improve the performance, reliability, cost, and operational visibility of platform workloads.
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.
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.

What you’ll bring

All qualifications

Core experience

  • 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.
  • Experience improving production reliability through monitoring, alerting, deployment automation, and incident response.

Preferred experience

  • Experience with Kubernetes, Terraform, Airflow, Trino, ClickHouse, Starrocks, or Pinot is a plus.
Qualification wording
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.
Experience improving production reliability through monitoring, alerting, deployment automation, and incident response.
Experience with Kubernetes, Terraform, Airflow, Trino, ClickHouse, Starrocks, or Pinot is a plus.

Tools in this posting

  • Java
  • AWS
  • Hadoop
  • Iceberg
  • Kubernetes
  • S3
  • Spark
  • Terraform
  • Airflow
  • Python
  • Scala
  • ClickHouse
  • Trino
Source — Tool mentions in context
- 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.
- 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.
- 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.
- 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.
- Strong analytical, communication, and collaboration skills. - Experience with Kubernetes, Terraform, Airflow, Trino, ClickHouse, Starrocks, or Pinot is a plus. BENEFITS & PERKS
- 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.

Benefits in the posting

Full benefits wording
  • Unlimited PTO
  • Excellent medical, dental, and vision coverage
  • Employee Equity and Stock Purchase Plan
  • Employee Discounts, Virtual Wellness Classes, andPet Insurance And more!!

From the employer’s posting.

About ZETA

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.

In the employer’s words · Read in context

Job description

View original posting ↗

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: https://zetaglobal.com/blog/a-look-into-zetas-ergs/  

ZETA IN THE NEWS!  

https://zetaglobal.com/press/?cat=press-releases  

#LI-YW1

 

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

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Source & posting history

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Pay
SALARY RANGE The salary range for this role is $165,000 - $185,000, depending on location and experience. PEOPLE & CULTURE AT ZETA
Location & working pattern

San Francisco, CA

- 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
Work authorization

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Status in our records
Active
First seen by us
Oct 4, 2026
Recorded sightings
6
Last seen by us
Oct 8, 2026
Employer says posted
Oct 2, 2026

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