Zeta Global

Senior Software Engineer, Data Platform

Zeta Global • $165K — $185K *
San Francisco, CA 94112In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 7+ years of software engineering experience.
  • Proficient in Python, Scala, Java, or another JVM language.
  • Experienced with Spark or a distributed data-processing framework.
  • Proven track record in building or operating production data platforms, backend systems, or distributed systems.
  • Familiarity with Lakehouse architecture, Apache Iceberg, data quality, or query engines.
  • Knowledge of AWS services like EC2, S3, and IAM.
  • Experience in enhancing production reliability through monitoring and automation.
  • Strong analytical, communication, and collaboration skills.

Responsibilities

  • Build and operate Lakehouse, Spark, and distributed data-processing systems.
  • Enhance performance, reliability, cost, and visibility of platform workloads.
  • Develop capabilities for data quality, governance, and security.
  • Establish data context for reporting, ML models, and AI agents.
  • Evaluate compute engines for cost and performance under read-heavy loads.
  • Examine real-time OLAP technologies for production use cases.
  • Refine deployment, observability, and incident response processes.
  • Collaborate with data scientists and engineers to enhance platform usability.
  • Contribute to open-source projects like Spark, Iceberg, and Airflow.
  • Mentor engineers through code reviews and knowledge-sharing sessions.

Benefits

  • Unlimited PTO
  • Excellent medical, dental, and vision coverage
  • Employee Equity and Stock Purchase Plan
  • Employee Discounts and Virtual Wellness Classes
  • Pet Insurance and more!
Full Job Description
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.

About Zeta Global

Zeta Global is a data-driven marketing technology company that combines the power of artificial intelligence with the scale of data, applying insights from over 2.4 billion user profiles to generate business outcomes. Zeta Global?s products and services include programmatic media buying, email marketing, CRM, data and analytics, and marketing automation. The company serves a wide range of industries, including financial services, insurance, automotive, telecommunications, retail, publishing, and travel. Zeta Global has offices in North America, Europe, and Asia-Pacific.
Learn more about Zeta Global
Size
1,300 employees
Market Cap
$1.7 billion
Industry
Media
Founded
2007
NASDAQ
ZETA
* Ladders Estimates

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