Data Platform Tech Lead

About the Role

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 #LI-NK2

Workplace

• Tel Aviv-Yafo