Pay: Salary not listed in the saved posting
Work setup: Hybrid stated — work setup source
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)
Read the full posting
Employment: Unconfirmed

What you’ll work on

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.

From the employer’s posting

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)

Tools in this posting

BigQuery
Snowflake
Trino
Spark

Source

- 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

Job description

View original posting ↗

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
Strong communication skills, with the ability to translate complex data into meaningful insights for business leaders
Experience in B2B, SaaS companies

What Will Make You Stand Out (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

#LI-MM8

#LI-HYBRID

At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

Various health plans
Time off plans for vacation and sick time
Parental leave options
Retirement options
Education reimbursement
In-office perks, and more!

Learn more about Zscaler's hybrid working model and benefits here.

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Tel Aviv-Yafo Municipality, ISR

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)

More source context

#LI-MM8 #LI-HYBRID At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

More relevant text appears in the full description.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at job-boards.greenhouse.io ↗Read the full description ↓

Status in our records: Active
First seen by us: Aug 27, 2026
Recorded sightings: 204
Last seen by us: Oct 9, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resume Add LinkedIn