Data Security Engineer

• The primary objective of this role is to quickly become a Subject Matter Expert (SME) in the client's solutions, specifically Microsoft Purview and Securiti.ai.
• This expertise will be leveraged to enhance data loss prevention and data classification programs for both structured and unstructured data.
• The goal is to mitigate risks by utilizing these tools and other custom solutions.
• The analyst will use their experience to support the solution, identify issues, gaps, and risks, and develop an action plan for remediation.

Responsibilities:

• Partner with different teams in the organization to accomplish tasks.
• Drive projects as an individual contributor and oversee the client's MSP.
• Understand the OSI model of networking, Data Loss Prevention and Data Classifications from a technical perspective.
• Comprehend regulatory compliance requirements related to data.
• Develop and manage data classification schemes, ensuring accurate labeling and the application of sensitivity labels to protect sensitive information.
• Create data discovery and labeling schemes and perform remediation tasks related to user access to sensitive data.
• Collaborate with DLP teams to prevent data exfiltration, configure systems to detect sensitive data and trigger appropriate actions, and regularly review policies for effectiveness and alignment with evolving requirements.

Skills: Key Qualifications:

• Experience in extracting, analyzing, manipulating, and organizing large amounts of data from disparate sources using various investigative tools.
• Drive Data Loss Prevention (DLP) rule development lifecycle, including policy development, response rules, and maintenance.
• Conduct research to improve accuracy across systems and minimize false positives through use of technology and data analytics.
• Ability to communicate complex findings in meaningful, easy-to-understand formats, including written summaries, visualizations, and presentations.
• Develop and maintain a deep understanding of the company’s most valuable intellectual property to proactively identify and investigate potential risks.
• Demonstrated ability to maintain confidentiality of sensitive data and information. Stay updated with the latest industry trends and best practices in data security.

Education: Preferred Experience:

• Familiarity with Microsoft Purview and Securiti.ai (training will be provided if necessary).
• Experience with structured and unstructured data connectors, data classification, and regex adjustments to identify risks.
• Experience with data protection and security operations through use of DLP tools and Data Classification technologies