DLP Engineer Purview
Capgemini•San Antonio, TX
•$100,000 - $120,000
About The Position
Capgemini Government Solutions (CGS) LLC is seeking a hands-on Data Protection Engineer (Purview) to design, implement, and manage Data Loss Prevention (DLP) and data classification capabilities within Microsoft Purview. This role is responsible for safeguarding sensitive data (PII, PHI, CUI) through automated protection controls, labeling frameworks, and policy enforcement across Microsoft 365 environments.
Requirements
- Active Secret clearance required.
- Bachelor’s degree in a technical field (or equivalent experience)
- 4+ years of experience in cybersecurity, data protection, or systems engineering
- 2+ years of hands-on experience with Microsoft Purview (DLP, Information Protection, Sensitivity Labels)
- Strong knowledge of data classification, labeling strategies, and information protection frameworks
- Experience implementing DLP controls to detect and prevent unauthorized data sharing
- Proficiency in PowerShell scripting for automation
- Familiarity with compliance frameworks (NIST, HIPAA, GDPR)
Nice To Haves
- Experience in GCC High or regulated federal environments
- Knowledge of KQL or security analytics tools (e.g., Sentinel)
- Microsoft security or compliance certifications
- Security+ CE desired.
Responsibilities
- Design, implement, and maintain Microsoft Purview DLP policies to prevent data leakage across Exchange, SharePoint, Teams, and endpoints
- Develop and manage sensitivity labeling and classification taxonomy, ensuring accurate identification and protection of sensitive data
- Configure and tune Sensitive Information Types (SITs) and detection rules to reduce false positives and improve data visibility
- Monitor and respond to DLP alerts, policy violations, and potential data exfiltration risks
- Partner with security, privacy, and legal teams to align data protection controls with NIST 800-53, HIPAA, and GDPR requirements
- Automate policy deployment and enforcement using PowerShell and Purview APIs
- Support user education and adoption of data classification policies, ensuring proper labeling and handling of sensitive data
- Generate reports and insights on data protection posture and compliance metrics
Benefits
- paid time off
- medical/dental/vision insurance
- 401(k)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
