Job Description
Data Protection Engineer
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In this pivotal role, you will design, develop, and execute a comprehensive strategy to mitigate data risk and advance our data governance maturity.
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Leading a dedicated team of data governance analysts and engineers, you will collaborate closely with cross-functional partners - including product management, technology, business data owners, security, risk, and legal teams. Your mission will be to deploy robust capabilities such as PII/PHI discovery, tokenization, data masking, and continuous risk monitoring utilizing modern data stack and DSPM platforms.
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Key Responsibilities
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- Strategy & Leadership: Define and execute the overarching data protection and risk mitigation roadmap across the organization.
- Platform & Process Design: Oversee the implementation and optimization of data protection workflows, scanning tools, and security platforms.
- Cross-Functional Collaboration: Partner with data stewards, business units, risk, compliance, and engineering teams to align on data security goals and drive tool adoption.
- Risk Framework Development: Establish an enterprise-wide framework to measure, monitor, and report on data risk, ensuring vulnerabilities are systematically mitigated.
- Enablement & Culture: Champion data security awareness by hosting training sessions, workshops, user onboarding, and internal promotional events.
- Agile Product Ownership: Act as the Product Owner for the data protection team, managing the product backlog, prioritizing deliverables, and integrating stakeholder feedback within an Agile framework.
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Qualifications & Experience
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- Professional Experience: 6+ years of overall IT/data experience, with at least 2 years dedicated to data protection, privacy, or risk management functions.
- Education: Bachelor’s degree in Computer Science, Information Systems, or a related technical discipline.
- Domain Expertise: Deep understanding of data protection frameworks, metadata management, automated tagging, and risk measurement.
- Business Acumen: Proven track record of translating complex business and regulatory requirements into actionable governance policies and standards.
- Product Management: Strong product ownership skills with a focus on user engagement and driving internal adoption of technical tools.
- Technical Fundamentals: Solid understanding of SQL, data modeling, and data analysis.
- Communication: Exceptional collaborative and communication skills, with the ability to bridge the gap between technical teams and business executives.
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Required Skills:
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- Hands-on experience deploying data protection, data masking, and tokenization tools.
- Familiarity with enterprise data catalogs, data quality management, and data observability platforms (e.g., Atlan, Databricks, Anomalo, or equivalent).
- Experience implementing PII/PHI scanning, data discovery, and remediation workflows.
- Experience operating as a Product Owner in an Agile environment using tools like Jira and Confluence.
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Preferred Skills:
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- Prior experience leading Data Security Posture Management (DSPM) initiatives.
- Hands-on exposure to cloud architecture, specifically the AWS stack.
- Experience leveraging AI-driven accelerators for automated metadata management and data protection.
- Background supporting large-scale cloud migrations, data modernization, or enterprise data warehousing projects.
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