Information Security Engineer (Data Security)

Role

We are looking for an Information Security Engineer (Data Security) to join our team. This is a Hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates), reporting to the Director, Information Security Compliance in the Information Security Compliance department.

The Information Security Engineer (Data Security) will be the technical owner of Zscaler's shift-left data security program, responsible for building and maintaining continuous visibility into how sensitive data moves across products, services, and third parties. You will anchor data classification governance, DSPM operations, and audit control evidence; serving as the connective tissue between Product Security, Engineering, Privacy, and Compliance. As AI workloads expand, you will become the critical data risk layer ensuring PII and sensitive data is governed across AI systems, fine-tuning workstreams, and third-party egress.

What you’ll do (Role Expectations)

• Own and evolve the end-to-end data security program architecture — including administration, configuration, and ongoing maintenance of data flow mapping and code-level scanning tools (e.g., Relyance.ai, BigID, Securiti.ai, OneTrust, or equivalent), data element mapping, and source code scanning pipelines and delivering continuous sensitive data visibility across Zscaler's product and service landscape
• Build and maintain the authoritative PII and sensitive data inventory covering service data flows and third-party egress; define and enforce data classification standards that engineering teams adopt during design and development, partnering with Privacy and Legal on regulatory alignment
• Lead POCs and technical evaluations for emerging data security capabilities — including DSPM controls, AI data governance tooling and privacy-enhancing technologies — translating findings into actionable build-vs-buy recommendations for leadership
• Drive shift-left adoption across product engineering teams by embedding data security reviews into the SDLC, running enablement sessions, and serving as the subject matter expert for teams building features that handle sensitive or regulated data including AI and LLM workloads processing PII
• Own data security control evidence for SOC 2, FedRAMP, and ISO