Data Platform Tech Lead at Check Point Software Technologies

Tel Aviv, Tel Aviv, Israel -

Full Time

Start Date

Immediate

Expiry Date

10 Oct, 26

Salary

0.0

Posted On

12 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Backend Software Engineering, Spark, Python, SQL, REST/gRPC APIs, Microservices, ETL/ELT Pipelines, Distributed Systems, Cloud Data Platforms, LLM Orchestration, Data Warehouse Design, Data Lake Architecture, NoSQL, Streaming Stores, Technical Leadership

Industry

Computer and Network Security

Description

Company Description We're looking for a Tech Lead who is more than a great data engineer - someone who brings equal depth in backend software engineering and broad fluency across data technologies, databases, and large-scale distributed systems. You'll own the architecture and hands-on development of our data platform while driving engineering excellence across the team. Job Description Architect and evolve our Data Warehouse, Data Lake, and ETL/ELT pipelines across multiple products and business domains Design and build enterprise-grade backend services and APIs that expose data platform capabilities at scale Own technical decisions on 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 Qualifications 6+ years in Data Engineering, including production-scale platform design and operation using Spark 2+ years as a Tech Lead or senior engineer leading technical initiatives Hands-on backend development experience - REST/gRPC APIs, microservices, service design patterns - at enterprise scale Broad database fluency: relational, analytical, NoSQL, columnar, and streaming stores Advanced SQL and strong Python; proven experience building and optimizing large-scale ETL/ELT pipelines Experience with cloud-based data platforms and AI-driven data workflows Practical proficiency with AI agents and tools - building, integrating, or orchestrating LLM-powered workflows in production environments Strong communication skills with technical and non-technical stakeholders Self-directed and forward-thinking - you bring a clear point of view, drive initiatives without being told, and see around corners on where the platform needs to go next Nice to have Azure data services, Databricks or EventHub Streaming and real-time data processing architectures Background in cyber security, SaaS, or large-scale enterprise environments Data governance, observability, or self-service platform experience CP Department: Products - R&D Office Location: Tel-Aviv Career site Category: R&D

Responsibilities

Architect and develop the company's data platform, including data warehouses, lakes, and ETL pipelines. Lead technical decisions on scalability and reliability while mentoring engineers and driving AI-first practices.