Director of Data Engineering

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Director of Data Engineering to join our team. This is a Hybrid (Ramat Gan) role, reporting to the VP Engineering - Lakehouse in the Exposure Management & Security Operations department. In this role, you will lead multiple data engineering teams driving the strategy, architecture, and operation of a high-scale, multi-tenant cybersecurity data platform. What you’ll do (Role Expectations) • Manage and mentor engineering managers and technical leads while aligning platform strategy with company goals and cross-functional partners • Engineer, maintain, and scale core data pipelines and data platform infrastructure, designing reliable ETL and ELT flows across databases, APIs, event streams, business systems, and data lakes • Oversee platform reliability, cost optimization, CI/CD pipelines, and enterprise-grade observability • Build scalable data solutions for internal teams as well as external, user-facing products • Partner with business teams, product stakeholders, and support teams to transform data needs into robust self-serve analytics and AI-assisted insights Who You Are (Success Profile) • You act like an owner, navigating seamlessly between high-level strategy and hands-on execution while taking deep personal accountability for outcomes. • You are a pragmatic builder who balances technical excellence with rapid delivery, unafraid to roll up your sleeves to build initial versions. • You are data-driven, leveraging analytics and evidence over assumptions to uncover truth and guide strategic decisions. • You think at scale, connecting day-to-day initiatives to global organizational goals while building sustainable processes designed for growth. • You are resilient and adaptable, maintaining composure and focus through changing conditions and high-pressure situations. What We’re Looking for (Minimum Qualifications) • Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving • 7+ years of experience in data engineering, with a minimum of 3 years in a leadership role • Strong background in data analysis, data visualization, and ETL/ELT pipeline orchestration • Mastery of distributed systems, cloud data architecture, and orchestration frameworks …