we are looking for a Data Platform Engineering Team Leader
As a Data Platform Engineering Team Leader on the Infrastructure R&D Department in our Tel Aviv office, youll lead the engineering team behind the data platform powering reporting, billing, experimentation, ML training, and revenue optimization.
Youll shape the technical direction of one of our most critical platforms, grow exceptional engineers, and solve complex data infrastructure challenges at massive scale-building systems that are reliable, scalable, and easy to use.
As a Data Platform Engineering Team Leader on the Infrastructure R&D Department in our Tel Aviv office, youll lead the engineering team behind the data platform powering reporting, billing, experimentation, ML training, and revenue optimization.
Youll shape the technical direction of one of our most critical platforms, grow exceptional engineers, and solve complex data infrastructure challenges at massive scale-building systems that are reliable, scalable, and easy to use.
Requirements:
5+ years leading and managing software development teams.
8+ years of software engineering experience with Java or a similar object-oriented language.
Experience building and operating large-scale distributed systems in production, including Kafka, Spark, Linux, and Kubernetes.
Strong understanding of object-oriented design, concurrent programming, SQL, and NoSQL databases.
Experience leading architecture discussions, reviewing code, and driving technical direction across engineering teams.
B.Sc. in Computer Science or equivalent practical experience.
Bonus points if you have:
Experience with dbt, Airflow, StarRocks, or Druid in production.
Experience leveraging AI agents to improve engineering productivity and familiarity with ML data pipelines.
5+ years leading and managing software development teams.
8+ years of software engineering experience with Java or a similar object-oriented language.
Experience building and operating large-scale distributed systems in production, including Kafka, Spark, Linux, and Kubernetes.
Strong understanding of object-oriented design, concurrent programming, SQL, and NoSQL databases.
Experience leading architecture discussions, reviewing code, and driving technical direction across engineering teams.
B.Sc. in Computer Science or equivalent practical experience.
Bonus points if you have:
Experience with dbt, Airflow, StarRocks, or Druid in production.
Experience leveraging AI agents to improve engineering productivity and familiarity with ML data pipelines.
This position is open to all candidates.
