Consultant - Data Security Job

Role Description

Job Title: Data Security Engineer

 Experience: 8–10 years
 Location: Indore/Pune/Hyderabad/Bangalore
 Department: Cybersecurity

Role Overview

We are seeking an experienced Data Security Engineer to design, implement, and manage enterprise-grade solutions that ensure the confidentiality, integrity, and availability of sensitive data across hybrid and multi-cloud environments. The ideal candidate will bring hands-on expertise in data discovery, classification, encryption, access governance, and cloud data protection technologies, driving continuous compliance and proactive data risk management.

Key Responsibilities

1. Data Security Architecture & Engineering

• Design and implement scalable data protection frameworks aligned with enterprise security architecture and compliance standards (ISO 27001, GDPR, HIPAA, PCI DSS, etc.).
• Evaluate and deploy data discovery and classification tools (e.g., Microsoft Purview, BigID, Varonis, Symantec DLP, or OneTrust).
• Integrate Data Loss Prevention (DLP), CASB, and encryption solutions across endpoints, networks, and cloud services.
• Define and implement tokenization, masking, and encryption strategies for structured and unstructured data.

2. Data Governance & Compliance

• Collaborate with data governance teams to map data flows and maintain an up-to-date Data Inventory and Risk Register.
• Ensure compliance with data residency and privacy regulations, including GDPR, CCPA, and local data protection laws.
• Conduct data risk assessments and define remediation plans to reduce exposure of sensitive data and shadow data.

3. Cloud & Application Security

• Integrate data security controls into cloud workloads (AWS, Azure, GCP) through services like KMS, Azure Key Vault, and Cloud DLP.
• Support secure data integration between SaaS applications, APIs, and data lakes.
• Partner with DevOps teams to embed data security in CI/CD pipelines, ensuring encryption, secrets management, and secure data access.

4. Monitoring, Incident Response & Continuous Improvement

• Develop and maintain data security monitoring dashboards in SIEM platforms (e.g., Sentinel, Splunk, QRadar).
• Investigate data-related security incidents and support forensic analysis and reporting.
• Drive continuous discovery of shadow data and implement preventive measures.
• Research and recommend emerging tools and technologies in data security automation and AI-driven data protection.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field.
• 8–10 years of proven experience in data security engineering, information protection, or cloud security.
• Certifications such as CDPSE, SC-400, SC-100.
• Strong hands-on expertise with:
• Data Discovery & Classification tools (e.g., BigID, Microsoft Purview, Varonis)
• DLP Solutions (e.g., Symantec, Forcepoint, Netskope, or McAfee)
• Encryption/Key Management (AWS KMS, Azure Key Vault, Thales CipherTrust, HashiCorp Vault)
• CASB & CSPM tools (Netskope, Prisma, or Microsoft Defender for Cloud)
• Solid understanding of cloud-native data security controls in AWS, Azure, and GCP.
• Knowledge of privacy and compliance frameworks: GDPR, CCPA, NIST 800-53, ISO 27001.
• Experience with automation (Python, PowerShell, Terraform) for security operations.
• Strong analytical, problem-solving, and communication skills.