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 audit cycles; maintain data flow documentation and third-party data sharing records that satisfy auditor requirements and support enterprise customer security reviews

Who You Are (Success Profile)

• You thrive in ambiguity and feel comfortable building the path as you walk it, viewing a dynamic environment as an opportunity to create meaningful impact.
• You act like an owner with a strong bias for action and a deep care for outcomes, seamlessly navigating between high-level strategy and hands-on execution.
• You are a natural problem-solver who is energized by tackling complex challenges and finding solutions that deliver the highest level of impact.
• You are a dedicated learner with a true growth mindset, actively seeking feedback to continuously develop yourself and become a stronger teammate.
• You are resilient and adaptable, remaining composed under pressure and viewing organizational changes or setbacks as temporary opportunities to guide the team forward.

What We’re Looking for (Minimum Qualifications)

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• Demonstrated curiosity and active exploration of tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving
• 5+ years in data security, privacy engineering, or a closely related discipline with hands-on experience owning a data security or data governance program, not just contributing to one
• Production experience administering and operating data flow mapping or data discovery tooling (e.g., Relyance.ai, BigID, Securiti.ai, OneTrust, Varonis, or equivalent) — including configuration, data element mapping, and ongoing platform maintenance
• Strong working knowledge of data classification frameworks, PII taxonomy, and sensitive data handling requirements across at least one major regulatory regime (GDPR, CCPA, HIPAA, or equivalent)
• Demonstrated ability to drive cross-functional adoption — experience partnering with engineering teams to embed data security practices into the SDLC, including running enablement sessions or defining data handling standards that developers actually follow

What Will Make You Stand Out (Preferred Qualifications)

• Hands-on experience governing data flows in AI and LLM workloads — including PII exposure risk in RAG pipelines, training data classification, or sensitive data controls for fine-tuning workstreams — with the ability to define a data governance model for agentic and AI-driven product features
• Experience operating a DSPM program end-to-end — including policy design, tuning, incident triage, and metrics reporting — across cloud-native or SaaS environments at scale

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