Data Protection Lead Engineer

Accountabilities:

• • Own the technical strategy, architecture, roadmap, and policy design for a global DLP program using Microsoft Purview, Sentinel, or equivalent enterprise security platforms.
  • Design and implement advanced DLP policies that effectively protect sensitive information while maintaining usability across regions and business units.
  • Apply machine learning and AI techniques to improve data classification, reduce false positives, enhance threat detection, and strengthen data protection capabilities.
  • Architect and oversee automated workflows and data pipelines using technologies such as Python and Azure Logic Apps to transform DLP telemetry into actionable security insights.
  • Design, manage, and govern RESTful APIs that integrate DLP platforms with broader cybersecurity and technology ecosystems.
  • Lead investigations into complex and high-risk data loss incidents, including remediation, root-cause analysis, and implementation of preventative measures.
  • Develop executive-level metrics, dashboards, and reporting that provide clear visibility into data loss risks, security posture, and program maturity.
  • Translate ambiguous business and security requirements into technical roadmaps while managing scope, feasibility, priorities, and resources.
  • Present architecture decisions, technical strategies, and recommendations to senior leadership and cross-functional governance forums to secure alignment and approval.
  • Drive continuous improvement across DLP tooling, processes, detection capabilities, and operating models, including adoption of emerging AI/ML security technologies.
  • Lead technical retrospectives and process improvement initiatives, addressing systemic issues and removing recurring operational gaps.
  • Mentor junior and mid-level engineers through technical guidance, architecture and code reviews, knowledge sharing, and professional development.
  • Collaborate with security, privacy, infrastructure, and business teams to remove cross-functional roadblocks and advance enterprise-wide data protection initiatives.

  Requirements:

  • Bachelor's degree or equivalent in Computer Science, Cybersecurity, Engineering, Information Technology, or a related technical discipline.
  • At least 5 years of professional cybersecurity experience, including 3+ years specializing in Data Loss Prevention, data governance, or closely related security domains.
  • 3+ years of hands-on experience with Microsoft Purview and/or Microsoft Sentinel, ideally within a large enterprise environment.
  • At least 2 years of practical experience with Microsoft Azure or Google Cloud Platform (GCP), including securing and protecting data across cloud environments.
  • Demonstrated ability to apply machine learning or artificial intelligence concepts to cybersecurity, data protection, classification, threat detection, or related use cases.
  • Strong understanding of DLP architecture, policy development, data classification, security monitoring, incident investigation, and enterprise data protection practices.
  • Experience designing automated workflows and integrations using Python, Logic Apps, RESTful APIs, and data pipelines.
  • Strong stakeholder management and communication skills, with the ability to explain complex security concepts to both technical and executive audiences.
  • Proven ability to influence architecture decisions, lead technical initiatives, mentor engineers, and collaborate effectively across multiple teams.
  • Strategic thinking combined with strong problem-solving, analytical, and execution skills, particularly when addressing complex security risks and ambiguous requirements.

  Benefits:

  • Work arrangement: Fully remote / work-from-home position based in Chennai, India.
  • Employment: Full-time opportunity at an expert/lead level.
  • Professional growth: Opportunity to influence enterprise-wide cybersecurity strategy and work with advanced DLP, cloud security, automation, and AI/ML technologies.
  • Leadership exposure: Direct involvement in architecture decisions, executive-level reporting, and cross-functional security initiatives.
  • Career development: Scope to mentor engineers, lead technical programs, and expand expertise across data protection and enterprise security.
  • Inclusive workplace: Commitment to diversity, equal opportunity, and an environment where qualified professionals can grow and contribute.
  • Impact: Opportunity to protect critical enterprise data and strengthen security capabilities at global scale.