Senior Cloud Data Security Engineer, Data Loss Prevention (DLP)

What you'll do

• Design and mature enterprise Data Loss Prevention (DLP) strategies across cloud, endpoint, email, and network platforms.
• Lead the end-to-end DLP lifecycle including data classification, policy development, rule tuning, and incident investigation.
• Architect cloud data protection capabilities for AWS, Azure, and GCP using tools like Microsoft Purview and CASB.
• Implement data protection controls for AI/ML platforms, generative AI solutions, and MLOps pipelines to prevent unauthorized data exposure.
• Develop dashboards and metrics to measure DLP effectiveness and automate policy enforcement and alert triage.
• Serve as the enterprise subject matter expert for cloud data security and AI/ML data protection.
• Partner with internal stakeholders to define security standards and roadmap priorities aligned with regulatory requirements.

What we're looking for

• 5+ years of experience designing, implementing, and supporting enterprise cloud security and data protection solutions with a focus on DLP.
• 5+ years of hands-on expertise administering and optimizing enterprise DLP platforms such as Microsoft Purview, Zscaler, or Palo Alto.
• 5+ years of experience creating and enforcing DLP policies across cloud, endpoint, email, network, SaaS, and collaboration platforms.
• 5+ years of experience implementing security and data protection controls across at least two major cloud platforms including AWS, Azure, and/or GCP.
• 5+ years of practical experience leveraging Zero Trust principles, CASB, CSPM, CNAPP, and Conditional Access.
• 5+ years of experience managing data classification and governance for PHI, PII, PCI, and proprietary data.
• 5+ years of experience partnering with stakeholders to investigate security incidents and perform root cause analysis.
• Bachelor’s degree from an accredited university or equivalent work experience (HS diploma + 4 years relevant experience).