Sr Data Security Engineer, DSPM

HealthEquity is dedicated to saving and improving lives by empowering healthcare consumers. They are looking for a Sr Data Security Engineer to own and operate the Securiti AI Data Command Center, drive sensitive data discovery and classification, and automate privacy operations in a highly regulated environment.

Responsibilities:

• Own and operate the Securiti AI Data Command Center
• Serve as the internal SME for Securiti AI Data Command Center, owning configuration, ongoing operation, and optimization of the platform
• Integrate Securiti with enterprise data platforms, identity systems, and governance tooling
• Ensure the platform is reliable, trusted, and scalable across structured and unstructured data environments
• Identify, classify, and tag regulated data such as PII, PHI, NPI, and PCI across the enterprise
• Maintain accurate, up-to-date data inventories and processing activity records
• Partner with Security and Data Governance teams to turn discovery outputs into actionable controls
• Support and streamline data subject access requests (DSARs), including coordination of identity validation, data retrieval, timelines, and evidence
• Enable privacy impact assessments (PIAs/DPIAs) and risk reviews for new data uses
• Help operationalize consent and preference management workflows where applicable
• Operationalize data retention schedules based on regulatory and business requirements
• Partner with Engineering and Data teams to implement automated deletion and minimization controls
• Manage exceptions such as legal holds and regulatory investigations
• Monitor privacy and compliance posture through dashboards and reporting
• Produce audit-ready evidence for internal and external reviews
• Continuously improve controls based on audit findings, incidents, and emerging risks
• Work closely with Product, Technology, IT, Legal, Privacy, and Security teams to deliver shared outcomes
• Act as a trusted partner translating regulatory and privacy requirements into technical solutions

Requirements:

• 5+ years of experience in privacy engineering, data governance, privacy operations tooling, or data security engineering
• Hands-on experience implementing or operating Securiti AI or comparable platforms (BigID, Microsoft Purview, etc.)
• Strong understanding of regulated data concepts and workflows (PII, PHI, DSARs, RoPA, PIAs, retention)
• Experience integrating SaaS platforms into enterprise ecosystems
• Ability to partner effectively across Security, Legal, Privacy, Data, and Engineering teams
• Experience in healthcare, financial services, or similarly regulated industries
• Familiarity with audit evidence, control testing, and regulatory inquiries
• Exposure to privacy-by-design or security-by-design programs at scale