Director of Data Engineering

Title: Director of Data Engineering

Location: Tel Aviv-Yafo Municipality, ISR

Job Description:

About Zscaler

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.

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)

• 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.