Senior Data Protection Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, implement, configure, and maintain data protection solutions across endpoints, networks, cloud services, email systems, and collaboration platforms.

• Tailor and optimize data protection policies, rules, and classifiers.

• Establish and uphold data classification schemes and sensitivity labels.

• Adjust data protection policies, rules, and detection algorithms to reduce false positives.

• Define and refine data classification labels, settings, and control parameters.

• Capability to resolve sensitivity label issues with end users.

• Develop automated workflows to bolster data security and minimize manual intervention.

• Oversee and prioritize data protection alerts and incidents.

• Implement and manage DSPM controls, data discovery, posture assessments, and exposure remediation.

• Document system designs, configurations, and support processes, including but not limited to creating and maintaining conceptual, logical, and system diagrams, standard operating procedures, playbooks, and configuration guides.

• Ensure data protection policies comply with company and regulatory requirements, along with industry regulations (e.g., GLBA, CCPA).

• Collaborate closely with compliance and legal teams to uphold data protection requirements.

• Provide technical insights on emerging threats and data security trends.

• Assist with data flow mapping, risk assessments, and remediation efforts.

• Engage in architecture reviews and change management activities.

• Integrate data protection platforms with SIEM and IAM systems.

⛳️ Requirements

• Bachelor's Degree in a relevant field or equivalent experience is preferred.

• Degree in Cybersecurity, Information Technology, Computer Science, or a related field (or equivalent experience).

• A minimum of five years of experience in DLP engineering.

• Robust, hands-on experience with Microsoft Purview (Data Loss Prevention and Information Protection) and Microsoft Defender.

• Experience with Microsoft Defender for Cloud and/or Zscaler is advantageous.

• Strong understanding of encryption, data classification, network security, endpoint protection, and cloud security principles.

• Scripting (e.g., Python and PowerShell) and automation skills are beneficial.

• Solid grasp of regular expressions and regex-based pattern matching.

• Knowledge of data protection laws, compliance frameworks, and industry best practices.

• Excellent verbal and written communication skills are essential.

• Highly organized and detail-oriented; ability to thrive in a fast-paced, metrics-driven environment is required.

• Proficiency in Microsoft Office Suite, Word, Excel, Wiki, collaborative cloud-based programs, and third-party software applications is necessary.

🏝️ Benefits

• Medical

• Dental

• Vision

• Life insurance

• AD&D

• LTD

• 401(k) with employer match