Job Description

Role: Information Security Engineer

Location: Charlotte, NC/ Chandler, AZ (Onsite 3 days/week & 2 days remote)

Contract: 12 months

Key Responsibilities)

• Provide tuning and optimization support for Securiti AI data discovery and classification (structured & unstructured data).
• Execute data classification efficacy validation strategies to ensure high accuracy and consistency.
• Apply precise feedback mechanisms to prevent cascading misclassifications across thousands of columns and datasets.
• Monitor and analyze tuning impact on classification results and ensure ongoing compliance alignment.
• Maintain data governance integrity and support audit readiness.
• Perform internal data scanning across servers and virtual machines.
• Scan and analyze large-scale datasets (up to 100+ TB) across enterprise platforms.
• Work with cloud-based data sources, primarily on AWS.
• Collaborate with analytics, governance, security, and platform teams to align classification outcomes.
• Support regulatory compliance efforts related to GDPR, SOX, and other data protection frameworks.
• Utilize SQL or other database technologies to analyze, validate, and troubleshoot classification results.
• Develop scripts and automation to support scanning, tuning, and reporting activities.

Required Skills & Qualifications

• 4–6 years of experience in data classification, data governance, or data analytics roles.
• Hands-on experience with Securiti AI or similar data discovery and classification platforms.
• Strong understanding of data classification techniques and semantic similarity across enterprise data.
• Experience scanning structured and unstructured data at scale.
• Proficiency in SQL and experience with relational or enterprise databases.
• Experience working with cloud platforms, preferably AWS.
• Knowledge of GDPR, SOX, or other data privacy and compliance regulations.
• Strong problem-solving and analytical skills.
• Experience with scripting (Python, Shell, or similar) for automation and analysis.
• Ability to scan data from servers and virtual machines.

Nice-to-Have Skills

• Experience with data governance frameworks and tools.
• Familiarity with metadata management, data catalogs, and audit reporting.
• Exposure to AI/ML-driven classification or NLP-based data discovery.
• Prior experience in large-scale enterprise data environments.

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

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