Data Platform Engineering Team Leader

Realize your potential by joining the leading performance-driven advertising company!

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 Taboolas 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 scalebuilding systems that are reliable scalable and easy to use.

To thrive in this role youll need:

• 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.
• . 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.

How youll make an impact:

• Lead mentor and grow a team of talented software engineers while fostering technical excellence and ownership.
• Define the teams technical strategy roadmap and architecture for one of Taboolas core data platforms.
• Own the reliability scalability and performance of the data pipelines powering reporting billing experimentation and ML training.
• Partner with engineering product finance and ML teams to align priorities and deliver high-impact platform capabilities.
• Drive the adoption of modern data technologies and AI-powered engineering practices to improve developer productivity and platform evolution.
• Stay hands-on by reviewing architecture code and technical designs while helping the team solve complex engineering challenges.
• Guide the evolution of the Spark SQL platform and shared data infrastructure used across R&D.
• Represent the team in architecture reviews hiring incident postmortems and technical forums.

Why Taboola

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

• Adam Singolda Taboola Founder and CEO says: You can copy anything from another business but you cant copy a companys culture.
• 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: Our advertiser clients include Wells Fargo Honda Pinterest and Expedia. Our publisher partners include Yahoo Conde Nast Fox Sports NBCU ESPN CBS and E! Online.

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 need.

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

About Taboola

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 Taboolas 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 Taboolas technology to grow audience and revenue enabling Realize to offer unique data specialized algorithms and unmatched scale.

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