Data Discovery & Classification Engineer

Key Responsibilities:

• Develop and implement data repository discovery strategies.

• Collaborate with data architects, analysts, and other stakeholders to identify sensitive data stores, integration workflows, and ETL (Extract, Transform, Load) processes.

• Partner with AI/ML cybersecurity team to identify and classify large datasets.

• Utilize tools and technologies to identify and classify sensitive data across various data sources.

• Collaborate with data governance, security, and IT teams to ensure proper data handling and protection.

• Conduct regular audits and assessments to ensure data classification accuracy.

• Create and maintain documentation for data discovery and classification processes.

• Provide training and support to employees on data classification best practices.

• Monitor and respond to data classification incidents and issues.

• Stay updated with the latest trends and technologies in data discovery and classification.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

• Proven experience as a Data Discovery & Classification Engineer or in a similar role.

• Strong knowledge of data discovery and classification tools and technologies (e.g., Varonis, Microsoft Information Protection, Symantec).

• Familiarity with data protection regulations (e.g., GDPR, CCPA).

• Excellent analytical and problem-solving skills.

• Strong communication and interpersonal skills.

• Ability to work independently and as part of a team.

• Relevant certifications (e.g., CIPP, CIPM) are a plus.