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DLP Engineer Purview

Job in San Antonio, Bexar County, Texas, 78208, USA
Listing for: Capgemini Government Solutions LLC
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Data Security, Cybersecurity, Information Security
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below

Description

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.

Job 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 Power Shell 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
Required qualifications
  • 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 Power Shell scripting for automation
  • Familiarity with compliance frameworks (NIST, HIPAA, GDPR)
Preferred Qualifications
  • Experience in GCC High or regulated federal environments
  • Knowledge of KQL or security analytics tools (e.g., Sentinel)
  • Microsoft security or compliance certifications
Equal Opportunity

All qualified applicants will be considered for employment based on their skills and merit. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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