Data Protection Engineer

Role Overview

• Lead the execution of enterprise-wide data discovery & classification for both unstructured and structured data.
• Lead data protection controls for Generative AI platforms to prevent unintended data disclosure and misuse.
• Implement safeguards to ensure only appropriately classified and authorized data is available for AI prompts, responses, and training.
• Identify and mitigate data overexposure risks.
• Support data lifecycle governance, including retention, archival, legal hold, and secure disposal for both human and AI-accessible data.
• Drafts configuration manuals, operating procedures, and system hardening guidelines.
• Provides guidance in the application and reporting of data protection technology performance metrics.
• Establish and maintain continuous data mapping and inventory to understand sensitive data.

Requirements

• 5+ years of experience in Information Security, Data Protection or Security Engineering roles.
• Experience implementing or operating technology within at least three of the following: Data Access Governance, Data Classification, Data Discovery, Data Encryption, Data Loss Prevention.
• Hands-on expertise with data classification and labeling technologies, including rule-based, pattern-based, and machine-learning–driven classification for sensitive data types.
• Awareness of AI-related risks (e.g., data leakage in prompts, model training exposure, shadow AI usage) and the ability to help enforce safeguards and acceptable use standards.
• Familiarity with Data Security Posture Management (DSPM) or data access governance tools (e.g., Varonis, BigID, OneTrust, Microsoft Purview, Symmetry, Wiz, Lacework, or similar).
• Experience reducing data risk through policy automation, bulk remediation workflows, and continuous monitoring.
• Knowledge of data lifecycle management, including retention, archival, legal hold, and secure disposal practices.
• Relevant certifications such as CISSP, CISM, GSEC, Security+ or equivalent are highly desirable.
• Exposure to privacy engineering concepts, including data minimization, purpose limitation, and least-privilege access.
• Strong understanding of industry frameworks such as CIS and NIST.
• Excellent written and verbal communication skills.

Benefits

• Comprehensive medical benefits coverage.
• Dental plans and vision coverage.
• Health care and dependent care spending accounts.
• Short
• and long-term disability.
• Life insurance and accidental death & dismemberment insurance.
• Employee and Family Assistance Program (EAP).
• Employee discount programs.
• Retirement plan with a generous company match.
• Employee Stock Purchase Plan (ESPP).
• Paid Time Off (PTO)