Data Security Engineer (Microsoft Purview and Securiti.ai)

Overview

On Site
Contract - W2
Contract - 3 day((s))

Skills

Netskope
Microsoft CoPilot
Microsoft Purview

Job Details

DivIHN (pronounced divine ) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

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For further inquiries regarding the following opportunity, please contact our Talent Specialist

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Title: Data Security Engineer (Microsoft Purview and Securiti.ai)
Location: Chicago, IL
Duration: 6 Months
Hours Per Day: 8.00
Hours Per Week: 40.00
Duties:
  • 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.
Nice to Have (Technologies):
  • Microsoft Purview, Microsoft CoPilot, BigID, Varoni,s SkyHig,h Forcepoint, Blue Coa,t Proofpoint, Netskope


About us:
DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.