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LeadHybridTel Aviv-Yafo Municipality

Director of Data Engineering

Z
Zscaler
Уровень
Lead
Формат
Hybrid
О роли

Описание вакансии

About the company

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.

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.

Responsibilities
  • 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
Requirements
  • 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
  • Strong communication skills, with the ability to translate complex data into meaningful insights for business leaders
  • Experience in B2B, SaaS companies
Preferred Qualifications
  • Deep experience with multi-tenant data platforms on large scale data sets
  • Experience with modern query engines such as Snowflake, BigQuery, Trino, or Spark
  • Security domain and cybersecurity data experience
Conditions
  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks, and more!
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