This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Protection Lead Engineer based in India.

This is a senior cybersecurity role focused on protecting sensitive enterprise data across a global technology environment. You will lead the technical strategy and architecture for a large-scale Data Loss Prevention (DLP) program. The role combines Microsoft Purview and Sentinel expertise with cloud security, automation, APIs, and emerging AI/ML techniques.

You will translate complex security requirements into scalable solutions while balancing strong protection with business usability. As a technical leader, you will influence architecture decisions, resolve high-risk incidents, and improve detection and response capabilities. You will also mentor engineers and collaborate with senior stakeholders across security, privacy, infrastructure, and business teams.

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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.
- Qualified 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.

nHow Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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📌 Data Protection Lead Engineer (India)
🏢 Jobgether
📍 India