Data Security & Privacy Engineer
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Key skills for this role
About the Role
Design and implement data security and privacy solutions, manage identity and access management, and ensure compliance with security best practices.
Key Skills for This Role
Responsibilities
- Design and implement data security and privacy controls across enterprise environments
- Manage identity and access management (IAM) solutions across cloud platforms
- Implement data protection strategies including encryption, masking, and data loss prevention
- Configure and manage security monitoring and threat detection solutions
- Support security assessments, audits, and compliance initiatives
- Define and enforce data security policies, standards, and best practices
- Collaborate with cloud, infrastructure, application, and data teams to secure enterprise data assets
- Monitor security events, investigate incidents, and support remediation activities
- Implement secure data handling practices throughout the data lifecycle
- Support privacy initiatives including sensitive data discovery, classification, and protection
- Continuously evaluate emerging security threats and recommend improvements
Requirements
- 3 11+ years of experience in data security and privacy
- Hands on experience with GCP IAM or Azure IAM or AWS IAM
- Experience with Data Loss Prevention (DLP) solutions
- Strong experience with Encryption and Key Management Services (KMS)
- Experience implementing Data Masking techniques
- Hands on experience with Splunk or Microsoft Sentinel for security monitoring
- Strong understanding of identity governance, authentication, authorization, roles, permissions, and access controls
- Knowledge of encryption standards, key lifecycle management, certificate management, and cryptographic best practices
- Understanding of tokenization, anonymization, and privacy enhancing technologies
Full Job Posting
Job Overview
- We are seeking a skilled Data Security & Privacy Engineer with 3 11+ years of experience to design, implement, and manage enterprise data security and privacy solutions. The ideal candidate will have strong expertise in identity and access management, data protection technologies, encryption, securi
Key Responsibilities
- Design and implement data security and privacy controls across enterprise environments.
- Manage identity and access management (IAM) solutions across cloud platforms.
- Implement data protection strategies including encryption, masking, and data loss prevention.
- Configure and manage security monitoring and threat detection solutions.
- Support security assessments, audits, and compliance initiatives.
- Define and enforce data security policies, standards, and best practices.
- Collaborate with cloud, infrastructure, application, and data teams to secure enterprise data assets.
- Monitor security events, investigate incidents, and support remediation activities.
- Implement secure data handling practices throughout the data lifecycle.
- Support privacy initiatives including sensitive data discovery, classification, and protection.
- Continuously evaluate emerging security threats and recommend improvements.
Required Technical Skills
- Identity & Access Management (IAM): Hands on experience with GCP IAM or Azure IAM or AWS IAM. Strong understanding of identity governance, authentication, authorization, roles, permissions, and access controls. Experience implementing least privilege access models and access management best practice
- Data Protection & Privacy: Experience with Data Loss Prevention (DLP) solutions. Strong understanding of data classification, sensitive data protection, and privacy controls. Experience implementing data security policies and compliance requirements.
- Encryption & Key Management: Strong experience with Encryption and Key Management Services (KMS). Knowledge of encryption standards, key lifecycle management, certificate management, and cryptographic best practices. Experience securing data at rest, in transit, and during processing.
- Data Masking & Protection: Experience implementing Data Masking techniques for protecting sensitive information. Understanding of tokenization, anonymization, and privacy enhancing technologies.
- Security Monitoring & SIEM: Hands on experience with Splunk or Microsoft Sentinel for security monitoring and incident detection. Experience analyzing security events, alerts, logs, and threat intelligence data. Knowledge of SIEM use cases, dashboards, and security investigations.
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