3 days ago
Tel Aviv-Yafo, IsraelStaff+
Responsibilities
- Shape the technical direction, architecture, roadmap, and emerging-technology strategy of the Data Platform group.
- Own difficult technical problems involving Spark performance and cost, Iceberg table management, Kafka ingestion, and low-latency StarRocks analytics.
- Evolve the Spark SQL platform and shared framework code used across R&D.
- Drive the evolution of the Iceberg-based lakehouse from ingestion through storage, compaction, and serving.
- Own the production health of the main business-critical data pipeline and lead incident deep-dives and postmortems.
- Write production code, build prototypes, and validate new technologies before adoption.
- Mentor engineers through design reviews, code reviews, pairing, and knowledge sharing, while helping develop technical leaders.
- Set engineering standards for design, code quality, testing, observability, and operational excellence.
- Collaborate with technical leaders, managers, and stakeholders across algorithm, product, finance, and infrastructure teams.
- Represent the group in architecture forums, hiring, open-source communities, and conference talks.
- Introduce agent-based engineering workflows, measure their impact, and support AI adoption across the group.
Requirements
- 10+ years of hands-on software engineering experience with deep expertise in Java or an equivalent JVM/object-oriented language.
- Deep hands-on expertise in Apache Spark internals, Spark SQL, the Catalyst optimizer, and large-scale performance and cost tuning.
- Production experience with Apache Iceberg or another open table format such as Delta Lake or Hudi, including table design, partitioning, compaction, and metadata/catalog management.
- Deep expertise in Apache Kafka internals, partitioning, delivery semantics, and high-throughput production pipelines.
- Hands-on experience with StarRocks or a similar MPP or real-time analytics engine such as Druid, ClickHouse, or Trino.
- Experience designing, building, and owning large-scale distributed data systems end to end, from architecture through production reliability.
- Proven experience mentoring engineers and developing technical leaders through reviews, pairing, and knowledge sharing.
- Highly proficient with Linux and Kubernetes in production.
- Ability to influence without authority and align teams, managers, and stakeholders.
- B.Sc. in Computer Science or equivalent experience.
- Preferred experience includes open-source data-project contributions, technical talks or writing, GPU Spark with RAPIDS, stream processing with Spark Structured Streaming, Kafka Streams, or Flink, dbt, Airflow, Ansible, Puppet, AI-agent engineering workflows, and familiarity with ML training pipelines.
Benefits
- Hybrid work schedule with three days in the Tel Aviv office and the option to come in more often.
- Competitive region-specific benefits and well-being programs, including comprehensive health benefits, a fully stocked kitchen, and location-specific perks.
- Opportunity to work with large-scale advertising technology, major publisher partners, and prominent advertiser clients.
Tech Stack
AnsibleApache AirflowApache CassandraApache FlinkApache HadoopApache KafkaApache SparkClickHousedbtDockerGoogle BigQueryGrafanaJavaKubernetesLinuxMySQLPrometheusPuppet
Categories
Data Engineering
About Taboola
Taboola builds an AI-driven native advertising and content recommendation platform for publishers, advertisers, and device makers, including the Realize ad-buying platform. The public company, founded in 2007 and headquartered in New York, trades on NASDAQ and FRA, partners with publishers such as NBC News and Yahoo and OEMs like Samsung and Xiaomi, and its network reaches roughly 600 million daily active users.