Senior Engineer, Data Platform

About 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. 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.

What you'll do

• 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

What you need

• 7–13 yrs of experience
• Python
• AWS
• Spark
• Airflow
• Machine learning
• Incident response
• Any graduate

Good to have

• Kubernetes
• Terraform
• IAM
• Scala
• Java