Director of Data Engineering

Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.

We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.

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