About the company
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 160+ public exchanges globally and thousands of private exchanges 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.
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
- Demonstrate a proven ability to leverage AI technologies and workflows to drive measurable operational efficiency
- 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!