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Data Platform Engineering Team Leader at Taboola · Trevo
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, you'll lead the engineering team behind the data platform powering Taboola's reporting, billing, experimentation, ML training, and revenue optimization. You'll 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.
What you'll do
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.
Nice to 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 you’ll make an impact:
Lead, mentor, and grow a team of talented software engineers while fostering technical excellence and ownership.
Define the team's technical strategy, roadmap, and architecture for one of Taboola's 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, 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:
Adam Singolda, Taboola Founder and CEO says: "You can copy anything from another business but you can't copy a company's 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, 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.