Senior Cloud Data Security Engineer
Core
Design, implement, and mature enterprise Data Loss Prevention (DLP) capabilities across cloud, endpoint, email, network, and AI/ML environments to prevent unauthorized data exfiltration and enforce data classification standards.
Role type
Senior Cloud Data Security Engineer (Data Loss Prevention)
Builds
Enterprise DLP policies, controls, dashboards, and automated response workflows for cloud-native and hybrid environments.
Domain
Healthcare / Cloud Security / Data Privacy
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Enterprise DLP platforms (Microsoft Purview, Zscaler, Palo Alto), Cloud security (AWS, Azure, GCP), Zero Trust architecture, CASB, CSPM, Conditional Access, Data classification (PII, PHI, PCI), Incident response and root cause analysis, Policy development and rule tuning, Dashboards and metrics reporting, Automation of security workflows, Shadow AI discovery and control, AI/ML data protection (LLMs, MLOps), Network security, Email security, Firewall technologies, Regular expressions (Regex) for policy definition.
Preferred skills
Splunk, Chronicle, Power BI, Generative AI security, MLOps platforms, Cross-functional leadership in DLP initiatives, Off-hours support availability.
Technologies
Microsoft Purview, Zscaler, Palo Alto, AWS, Azure, GCP, Splunk, Chronicle, Power BI, CASB, CNAPP, CSPM, SASE, LLMs, MLOps
Responsibilities
Design and implement DLP policies across cloud, endpoint, email, and network channels; Lead data classification and labeling initiatives for PII, PHI, and PCI; Monitor, investigate, and respond to data leakage incidents; Develop dashboards and metrics to communicate DLP effectiveness; Automate DLP enforcement and incident response workflows; Extend DLP capabilities to cloud-native and AI/ML pipelines; Partner with stakeholders to align DLP controls with regulatory frameworks (NIST, CIS, CSA, MITRE ATLAS).
Seniority
Senior, hands-on IC
