2 months ago
Tel Aviv-Yafo, IsraelStaff+

Responsibilities

  • Architect and evolve data warehouses, data lakes, and ETL/ELT pipelines across products and business domains.
  • Design and build enterprise-scale backend services and REST/gRPC APIs for data platform capabilities.
  • Own technical decisions involving scalability, reliability, observability, and data quality.
  • Lead cross-functional initiatives with R&D, product, analysts, and business stakeholders.
  • Mentor data engineers and developers through design reviews, technical leadership, and engineering best practices.
  • Drive adoption of modern data technologies, AI-first practices, and automation.

Requirements

  • 6+ years of data engineering experience, including production-scale platform design and operation using Spark.
  • 2+ years as a Tech Lead or senior engineer leading technical initiatives.
  • Hands-on enterprise-scale backend development experience with REST/gRPC APIs, microservices, and service design patterns.
  • Broad fluency across relational, analytical, NoSQL, columnar, and streaming databases.
  • Advanced SQL, strong Python, and experience building and optimizing large-scale ETL/ELT pipelines.
  • Experience with cloud-based data platforms and AI-driven data workflows.
  • Practical proficiency building, integrating, or orchestrating production LLM-powered workflows with AI agents and tools.
  • Strong communication skills with technical and non-technical stakeholders.
  • Preferred experience with Azure data services, Databricks, EventHub, streaming and real-time processing, cybersecurity, SaaS, enterprise environments, data governance, observability, or self-service platforms.

Benefits

  • The position is based in the Tel-Aviv office.

Tech Stack

Categories

BackendData Engineering
Check Point Software Technologies

About Check Point Software Technologies

5,001-10,000 employees

Check Point Software Technologies Ltd. is a leading protector of digital trust, utilizing AI-powered cyber security solutions to safeguard over 100,000 organizations globally. Through its Infinity Platform and an open garden ecosystem, Check Point’s prevention-first approach delivers industry-leading security efficacy while reducing risk. Employing a hybrid mesh network architecture with SASE at its core, the Infinity Platform unifies the management of on-premises, cloud, and workspace environments to offer flexibility, simplicity and scale for enterprises and service providers.

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