[Hiring] Data Security Engineer @Commvault

Role Description

The Data Security Engineer is responsible for the design, implementation, and continuous improvement of technical controls that protect organizational data across endpoint, email, network, cloud, collaboration, and emerging AI platforms. This role serves as a key member of the Security Engineering team and acts as a bridge between business policy requirements and technical security implementations.

The ideal candidate possesses a strong understanding of data protection principles along with the technical expertise required to translate governance, compliance, privacy, and security policies into effective technical controls. This position focuses on the engineering, configuration, optimization, and maintenance of data protection technologies rather than day-to-day alert monitoring or incident response activities.

The Data Security Engineer partners closely with Compliance, Legal, Privacy, Information Governance, Security Architecture, Identity and Access Management, Security Operations, and Information Technology teams to ensure data protection requirements are effectively implemented and enforced across the enterprise.

This role combines project-based work, including deployment of new data protection capabilities and enhancements, with operational responsibilities involving support, maintenance, tuning, and continuous improvement of existing security technologies.

Qualifications

• Bachelor's degree in Information Security, Computer Science, Information Technology, Engineering, or equivalent practical experience.
• 3-5 years of experience in Data Security Engineering, Information Protection, DLP Engineering, Data Protection, or a related security discipline.
• Experience implementing and administering enterprise data protection technologies.
• Experience designing and maintaining security controls across endpoint, email, cloud, network, and collaboration environments.
• Understanding of data classification, information governance, privacy, and data protection principles.
• Experience translating business, compliance, privacy, or regulatory requirements into technical security controls.
• Strong troubleshooting and analytical problem-solving skills.
• Experience working with cross-functional teams and multiple stakeholder groups.
• Strong written and verbal communication skills.
• Ability to manage multiple priorities and projects simultaneously.

Requirements

• Experience with Microsoft Purview Information Protection and Data Loss Prevention.
• Experience implementing DLP capabilities across endpoint, email, cloud, network, and SaaS environments.
• Experience with AI governance, AI security controls, or AI-related data protection technologies.
• Knowledge of Microsoft 365 security and compliance capabilities.
• Experience with data classification, sensitivity labeling, and information protection technologies.
• Familiarity with regulatory frameworks such as GDPR, CCPA, HIPAA, PCI-DSS, SOX, or similar standards.
• Experience with Insider Risk Management programs and technologies.
• Familiarity with automation and scripting technologies such as PowerShell or Python.
• Security certifications such as SC-400, CISSP, Security+, SC-300, AZ-500, or equivalent.

Benefits

• High income earning opportunities based on self-performance.
• Employee stock purchase plan (ESPP).
• Continuous professional development, product training, and career pathing.
• Generous global benefits.

Company Description

Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data.