Senior Data Security Engineer

Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands.

At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.

,

Ralph Lauren Corporation is seeking a highly experienced Senior Data Security Engineer to lead the

design, engineering, and advancement of the organization's enterprise data protection capabilities.

Based in Bangalore, India, this role serves as a senior technical contributor responsible for protecting

Ralph Lauren's most critical information assets across global retail, digital commerce, corporate,

supply chain, manufacturing, and cloud environments.

As a member of the Global Cybersecurity Engineering team, you will architect, implement, and

operationalize modern data security solutions that protect customer, employee, financial,

merchandising, product development, and intellectual property data. You will partner with global

technology teams across North America, Europe, and Asia-Pacific to integrate security into cloud

transformation, AI adoption, digital commerce, and enterprise modernization initiatives.

This role requires deep security engineering expertise, strong problem-solving skills, and a passion

for building scalable security solutions that enable business growth while reducing risk.

,

Lead Enterprise Data Protection Engineering

• Serve as the technical lead for enterprise data protection solutions and initiatives.
• Design, implement, and optimize data-centric security controls across cloud, SaaS, and on
  
  

premises environments.

• Develop security standards, engineering patterns, and implementation guidance for data
  
  

protection technologies.

• Collaborate with enterprise architecture, infrastructure, cloud, and application teams to
  
  

secure sensitive business information.

• Drive security-by-design principles across strategic technology programs.
  
  

Architect and Implement Data Security Technologies

Lead Engineering And Administration Of

• Microsoft Purview
• Microsoft Information Protection
• Data Loss Prevention (DLP)
• Insider Risk Management
• Data Security Posture Management (DSPM)
• Data Discovery and Classification
• Information Governance
• Records Management
• Encryption and Key Management
• Data Access Governance
  
  

Responsibilities Include

• Developing enterprise-wide protection policies.
• Implementing automated classification and labeling capabilities.
• Engineering controls that secure both structured and unstructured data.
• Automating data protection workflows and compliance controls.
  
  

Secure Cloud, AI, and Digital Platforms

Partner With Cloud And Engineering Teams To Secure

• Microsoft Azure
• Microsoft 365
• AWS
• Data Analytics Platforms
• Data Lakes and Modern Data Platforms
• Artificial Intelligence and Generative AI Solutions
• SaaS Applications
• Global E-Commerce Platforms
  
  

Key Responsibilities Include

• Designing cloud-native data protection architectures.
• Implementing Zero Trust data security controls.
• Defining secure design standards for AI and machine learning initiatives.
• Securing enterprise data used by analytics and AI platforms.
  
  

Detection Engineering and Data Security Operations

• Integrate data protection solutions with Microsoft Sentinel and enterprise SIEM platforms.
• Develop advanced detection capabilities for:
• Data Exfiltration
• Insider Threat Activity
• Unauthorized Data Access
• Excessive Permission Usage
• Privileged User Abuse
• Sensitive Data Exposure
• Create dashboards, reporting metrics, and automated workflows.
• Support incident investigations involving data security and privacy risks.
  
  

Automation and Engineering Excellence

• Develop automation solutions using:
• PowerShell
• Python
• Microsoft Graph API
• REST APIs
• Infrastructure as Code (Terraform, ARM, Bicep)
• Improve operational efficiency through automation and orchestration.
• Establish engineering best practices, documentation standards, and reusable security
  
  

frameworks.

• Contribute to continuous improvement of cybersecurity engineering capabilities.
  
  

Technical Leadership

• Provide technical leadership across data security initiatives.
• Mentor junior engineers and support knowledge sharing within the cybersecurity
  
  

organization.

• Participate in architecture reviews and technology governance forums.
• Partner with global teams to evaluate emerging security technologies and industry best
  
  

practices.

• Translate complex security risks into actionable technical recommendations.
  
  

,

Education

• Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Technology,
  
  

or a related field.

• Master's degree preferred.
  
  

Experience

• 8+ years of cybersecurity, security engineering, or information protection experience.
• 5+ years of hands-on experience implementing enterprise data security technologies.
• Experience designing and deploying Microsoft Purview and Microsoft Information Protection
  
  

solutions.

• Strong experience securing cloud-first environments.
• Experience supporting global enterprise environments across multiple regions.
• Experience working with distributed teams supporting 24x7 operations.
  
  

Technical Skills

Data Security

• Microsoft Purview
• Data Loss Prevention (DLP)
• Microsoft Information Protection
• Insider Risk Management
• DSPM Solutions
• Data Discovery and Classification
• Data Governance
• Encryption Technologies
• Enterprise Key Management
• Structured and Unstructured Data Protection
  
  

Cloud Security

• Microsoft Azure
• Microsoft 365
• AWS
• Cloud Security Architecture
• SaaS Security
• Cloud Data Governance
• Zero Trust Architecture
  
  

Identity Security

• Microsoft Entra ID
• Conditional Access
• Privileged Identity Management (PIM)
• Identity Governance
• Role-Based Access Control (RBAC)
  
  

Security Operations

• Microsoft Sentinel
• SIEM/SOAR Platforms
• Threat Detection Engineering
• Incident Response
• Security Monitoring
  
  

Automation and Development

• PowerShell
• Python
• REST APIs
• Microsoft Graph
• Terraform
• ARM/Bicep
• GitHub and CI/CD Pipelines
  
  

Preferred Qualifications

• Experience supporting global retail, luxury, consumer products, manufacturing, or digital
  
  

commerce organizations.

• Experience implementing enterprise-scale Microsoft Purview programs.
• Experience securing AI and Generative AI platforms.
• Experience with privacy regulations including GDPR, CPRA, and international data protection
  
  

requirements.

• Experience supporting global cybersecurity transformation initiatives.
  
  

Preferred Certifications

• CISSP
• CCSP
• CISM
• Microsoft Cybersecurity Architect Expert (SC-100)
• Microsoft Information Protection Administrator (SC-400)
• Microsoft Security Operations Analyst (SC-200)
• Azure Security Engineer (AZ-500)
• GIAC Security Certifications
  
  

Success Measures

Within The First 12-18 Months, This Engineer Will

• Expand enterprise data discovery and classification coverage globally.
• Improve adoption and effectiveness of Microsoft Purview capabilities.
• Reduce enterprise data exposure and data loss risks.
• Strengthen insider threat detection and monitoring capabilities.
• Enhance AI and cloud data security controls.
• Automate manual security processes to improve operational efficiency.
• Drive measurable improvements in Ralph Lauren's data protection maturity.