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Taboola Logo Taboola · IT - Software Development

Data Platform Engineering Team Leader

Israel, Tel Aviv · Job Posted June 30, 2026
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Job Description

You’ll lead a team of 4–6 strong engineers building the core data platform that powers Taboola’s reporting, billing, ML training, experimentation, revenue optimization, and business decision-making — with data that is reliable, fresh, scalable, and easy to use.

Job Responsibility

  • Set technical direction for the team — the architecture, the roadmap, and the bets we make on emerging tech (Iceberg, StarRocks, GPU Spark, dbt, AI tooling)
  • Own the production health and reliability of the main Taboola data pipeline — the system behind reports, ML model training, billing, and other business-critical processes
  • Grow your engineers: coach, mentor, run 1:1s, give honest feedback, and create the conditions for senior engineers to do their best work
  • Prioritize ruthlessly across competing demands from algo, product, finance, and infrastructure stakeholders — and say no when you need to
  • Drive cross-team alignment: partner with peer team leaders, group managers, and principal engineers to shape how the platform evolves across R&D
  • Upscale your team with AI: introduce agent-based workflows, measure their impact on velocity, and make your team a model for how engineering at Taboola changes in the AI era
  • Evolve our Spark SQL platform (60,000+ jobs/day) and the core framework code used across R&D — making the call on what gets built, refactored, or retired
  • Stay hands-on (~30–40% of your time) — enough to make sound technical decisions, review designs and code with authority, and unblock the team when it matters
  • Represent the team externally — in design reviews, postmortems, hiring, and technical forums
  • Directly shape how billions of people discover the internet

Requirements

  • 5+ years leading and managing software development teams
  • 8+ years of engineering background in Java or an equivalent object-oriented language — enough technical depth to lead architecture discussions and review code with authority
  • Experience developing large-scale distributed systems and a solid understanding of production infrastructure
  • Deep grounding in CS fundamentals: object-oriented design, data structures, and concurrent/multi-threaded programming
  • Deep expertise in Kafka and Spark
  • Highly proficient with Linux and Kubernetes in production
  • Experience with both SQL and NoSQL systems
  • Demonstrated ability to collaborate across teams and drive alignment
  • Strong problem-solving and critical-thinking skills
  • B.Sc. in Computer Science or equivalent experience

Nice to have

  • Experience with dbt and/or Airflow
  • Experience with StarRocks production deployments
  • Experience with Druid production deployments
  • Knowledge of Ansible, Puppet, or similar configuration systems
  • A track record of leveraging AI agents to accelerate engineering work
  • Familiarity with how ML training pipelines consume data, to partner effectively with algo teams

What we offer

  • Well-being: comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking)
  • Flexibility: hybrid work schedule with 3 days in-office with an option to come in more often if desired
  • Work with some of the biggest names in the business
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