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 Senior Professional Services Consultant – Data Security Posture Management (DSPM) to join our team. This is a Remote (PST/MST) role reporting to the Manager, Professional Services (West) in the Professional Services department. Sitting at the intersection of strategic enterprise consulting and forward-deployed engineering, you will serve as the primary technical authority and end-to-end delivery owner for enterprise DSPM customers. In this role, you will architect, deploy, and optimize DSPM solutions alongside the broader Zscaler Zero Trust Exchange platform to eliminate cloud data risks, enforce AI governance, and build resilient modern data architectures.

What you’ll do (Role Expectations)

Serve as the primary technical delivery owner across the customer lifecycle, leading multi-cloud, hybrid, and regulated DSPM architecture and Zero Trust ecosystem deployments
Configure and optimize cloud and on-premises data connectors across AWS, Azure, GCP, Snowflake, Databricks, BigQuery, and enterprise repositories
Customize data classification pipelines, Data Firewall policy engines, and sensitive data discovery workflows to drive measurable risk reduction
Implement enterprise identity, access, and governance controls including SSO/SAML, SCIM, RBAC, minimal-permission service accounts, and cloud IAM integrations
Diagnose complex customer deployment challenges and partner directly with Core Engineering and Product Management to influence platform capabilities and pre-sales evaluations
Integrate Across the Zero Trust Ecosystem: Architect and integrate DSPM capabilities alongside ZIA, ZPA, ZDX, and the broader Zero Trust Exchange across complex enterprise environments, including AI-driven workload and GenAI pipeline scenarios

Who You Are (Success Profile)

You thrive in dynamic environments, navigating technical ambiguity with ease and treating complex architectures as raw material to build high-impact customer solutions.
You operate with an ownership mindset, moving seamlessly between executive-level architectural strategy and hands-on production troubleshooting to guarantee customer outcomes.
You are a relentless problem-solver who actively tackles complex technical barriers, from untangling cross-cloud IAM permission chains to resolving connector-level defects.
You are a high-trust collaborator who partners across customer teams, Sales, and Core Engineering with directness, transparency, and mutual respect.
You maintain an active growth mindset, continuously expanding your technical depth across evolving cloud data platforms, security paradigms, and enterprise AI adoption.

What We’re Looking for (Minimum Qualifications)

Proven track record in customer-facing technical delivery roles such as Professional Services, Forward Deployed Engineering, or Security/Cloud Architecture Consulting for enterprise accounts
Hands-on technical experience deploying data security or cloud solutions across major public clouds (AWS, Azure, GCP) and modern data platforms (Snowflake, Databricks, BigQuery, SQL/NoSQL, SharePoint, or SMB)