Lead Compute Platform Engineer

Free resume; Berlin; Hybrid; EUR 69.000 - 77.000; Vollzeit

Zusammenfassung

Zeta Global is seeking a Senior Compute Platform Engineer to join the Data Platform team. You will build and run the data infrastructure powering Zeta's lakehouse, enabling scalable, cost-efficient data processing for researchers and engineers.

The role emphasizes mentoring, feature development, and collaboration with San Francisco and Berlin teams to improve the stack, including Spark, Hadoop, and related technologies. Remote-friendly, full-time opportunity.

Qualifikationen

• Minimum 7 years of software engineering experience.
• A degree in Computer Science, Software Engineering, Physics, Math, or a related field.
• 2+ years of experience with Scala or other JVM-based languages and Spark.

Aufgaben

• Operate and implement new features in the data platform framework and services.
• Collaborate with data scientists to improve user experience and productivity.
• Identify and implement computational improvements for large-scale workloads.
• Submit patches to open-source projects in our stack (e.g., Spark, Iceberg, Hadoop, Airflow).
• Serve as an expert on Spark and Scala, guiding the team on best practices.
• Mentor engineers through pairing, design discussions, and knowledge sharing.

Kenntnisse

Software engineering

Scala

Mentoring

Ausbildung

Degree in Computer Science/Software Engineering/Physics/Math

Tools

Spark

Hadoop

Iceberg

Airflow

Kubernetes

Jobbeschreibung

Direct company application on www.arbeitnow.com . Zero third-party aggregator forms.

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 Compute Platform Engineer on the Data Platform team, you will be part of the group responsible for building and running the data infrastructure that powers Zeta's platform, including Zeta’s lakehouse platform. The Data Platform team delivers reliable, cost-efficient data processing that scales with growth — so engineers and analysts can focus on business problems instead of wrestling with infrastructure.

The Data Platform team empowers data scientists and data engineers through a Scala data warehouse framework designed for data modeling and the creation of type-safe and easily testable batch jobs. The team also orchestrates a compute environment that simplifies the execution of Spark jobs, facilitating the analysis of terabytes of data with ease and cost-effectiveness. The runtime environment is based on Hadoop clusters on EC2 spot instances, dynamically scaling up as required, ensuring high resource utilization and stability.

Our team is responsible for the development and deployment of the company's next-generation technology, closely collaborating with the company's other branches in San Francisco and Berlin. You will help grow the team through mentoring, code reviews, and knowledge sharing so others can work effectively with our stack.

As a Senior Compute Platform Engineer, your responsibilities will include:

• Operating and implementing new features in the framework and the services managed by the team
• Engaging with data scientists and identifying ways of improving their experience and productivity when using our framework and services
• Identifying and implementing computational improvements
• Making improvements and/or fixing bugs by submitting patches to open-source projects in our stack, such as Spark, Iceberg, Hadoop, Airflow, and many others
• Acting as an expert on Spark and Scala
• Mentoring engineers (including through pairing, design discussions, and knowledge-sharing sessions) and helping raise the bar on quality, reliability, and good practices across the team

Desired Characteristics:

• Minimum 7 years of software engineering experience
• A degree in Computer Science, Software Engineering, Physics, Math, or a related field
• 2+ years of experience and proficiency in Scala or other JVM-based languages
• Experience with Spark and/or other large-scale data-processing frameworks
• Experience with Kubernetes is a plus

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Remote full-time en 69,000–77,000 EUR/yr

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