Data Platform Engineering Team Leader

Posted 4 Hours Ago
Be an Early Applicant
Tel Aviv, ISR
Hybrid
Senior level
AdTech • Big Data • Digital Media • Marketing Tech
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social.
The Role
Lead a 4–6 engineer team building Taboola's core data platform for reporting, billing, ML training, and analytics. Set technical direction, own production reliability, coach engineers, drive cross-team alignment, and stay ~30–40% hands-on while prioritizing roadmap and platform evolution.
Summary Generated by Built In

1.4 billion users. 950,000 requests per second. 150TB of fresh data every day. 800M metrics every minute. That's the scale Taboola's Data Platform Engineering team operates at — and we're looking for a Software Development Team Leader to help drive what comes next.

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. 


To thrive in this role, you'll need:
  • 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
Bonus points if you 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
How you'll make an impact:
  • 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
Here are some of the things engineers in our group have done — or are doing right now:
  • Pioneered deployment of Spark SQL workloads on GPU with RAPIDS
  • Delivered a real-time pipeline reports product serving all our customers on top of Druid
  • Actively migrating a proprietary ETL system to dbt-core
  • Pioneered usage of Iceberg (and gave conference talks about it) — yes, we manage it ourselves
  • Productionizing our StarRocks deployments
  • Building pipelines on top of Spark Streaming, Iceberg, and dbt
  • Extending data solutions to help algo engineers iterate faster
  • …and many more
Our Tech Stack

Java, Spark, Kafka, Hadoop, Cassandra, Vertica, StarRocks, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Grafana, Airflow, dbt, Redis, Druid

This is us!

You'll work with:

  • The people who wrote the first lines of code at Taboola (and many, many more lines after that)
  • Engineers deeply familiar with the internals of Kafka, Cassandra, Airflow, and Spark — including committing back upstream
  • Multiple internal Taboola hackathon winners
  • The designers and implementers of an off-heap, zero-GC custom Kafka Producer that cumulatively sends ~100B messages a day

Why Taboola?

Adam Singolda, Taboola Founder and CEO, says: “You can copy anything from another business but you can’t copy a company’s culture.

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

  • Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking).
  • Flexibility: We offer a 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: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business needs.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.


Skills Required

  • 5+ years leading and managing software development teams
  • 8+ years engineering background in Java or equivalent object-oriented language
  • Experience developing large-scale distributed systems and production infrastructure
  • Deep grounding in CS fundamentals: OOP design, data structures, concurrency
  • 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
  • Experience with dbt and/or Airflow
  • Experience with StarRocks production deployments
  • Experience with Druid production deployments
  • Knowledge of Ansible, Puppet, or similar configuration systems
  • Track record of leveraging AI agents to accelerate engineering work
  • Familiarity with ML training pipelines and how they consume data

What the Team is Saying

Victor
Adam
Daniela
Esra
Ari
Ceci
Tanya
Giulliana
Sam
Alessandro
Jessica
Sarahjean (SJ)
Yannis
Melissa

Taboola Compensation & Benefits Highlights

  • Parental & Family Support Primary caregivers receive 26 weeks of paid leave in the U.S., with secondary caregivers also receiving paid leave and options like phased return-to-work. Adoption assistance and family-focused programs further reinforce support for caregivers.
  • Leave & Time Off Breadth Flexible/unlimited PTO in U.S. offices and observance of most federal holidays are offered, alongside hybrid work with several remote days per week. This combination signals strong flexibility around time away and work location.
  • Retirement Support A 401(k) with a company match of 50% up to the first 6% of contributions is explicitly offered in the U.S. This establishes clear employer-supported retirement savings as part of total rewards.

Taboola Insights

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The Company
HQ: New York, NY
1,900 Employees
Year Founded: 2006

What We Do

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

Why Work With Us

What sets Taboola apart? Our culture. We combine the massive data scale of a global ad-tech powerhouse with a culture anchored in empathy, non-linear growth, and trust-first flexibility. If you're looking to tackle complex AI challenges alongside brilliant, supportive peers—while being valued as a whole human being—your next chapter starts here.

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Taboola Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Taboola offers flexibility and the ability to work remotely two days a week with three days in-office.

Typical time on-site: 3 days a week
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