Technical expert role focused on enterprise data protection using Protegrity across applications and data pipelines.

Design, implement, and maintain enterprise data protection solutions using Protegrity, including tokenization, masking, and encryption controls
Act as a technical expert for integrating Protegrity with new and existing applications, databases, and data pipelines across the organization
Develop, test, and optimize data protection policies, workflows, and integration patterns to meet security and compliance requirements
Troubleshoot and resolve complex issues involving Protegrity agents, connectors, policy enforcement, and application integration
Partner with application teams, architects, and cybersecurity stakeholders to ensure secure data handling throughout solution lifecycles
Maintain documentation for architectures, integration guides, runbooks, and operational procedures for data protection platforms
Mentor and train junior engineers to build internal capability and sustain subject matter expertise
Support ongoing operations and incident response activities for the organization’s Tier 1 data protection platform

Bachelor’s degree or equivalent education, training, and work-related experience
Minimum 5 years of experience in security engineering or related cybersecurity roles
Advanced knowledge of cybersecurity principles, theories, and concepts
Proven experience applying software development lifecycle security practices
Advanced knowledge of threat modeling, security testing, and penetration testing
Experience implementing and managing complex information security technologies

Protegrity; tokenization; data masking; encryption
Format-preserving tokenization (reversible and non-reversible); static and dynamic data masking
Symmetric and asymmetric encryption; key management concepts
Java, Python, .NET, SQL
PCI DSS, GDPR, HIPAA
AWS, Azure, GCP
DevSecOps; CI/CD pipelines
Snowflake; Hadoop ecosystem; Spark

5–8+ years in software engineering, cybersecurity engineering, or data engineering roles
Hands-on experience integrating Protegrity or a similar enterprise data protection platform
Strong knowledge of tokenization, including format-preserving, reversible, and non-reversible approaches
Strong knowledge of data masking (static and dynamic)
Strong knowledge of encryption (symmetric, asymmetric, and key management concepts)
Experience with application integration patterns such as APIs, SDKs, agents, proxy-based controls, and microservices
Proficiency in at least one modern programming language (Java, Python, .NET, etc.)
Strong SQL and analytical skills
Deep understanding of data security, IAM, and compliance frameworks (PCI DSS, GDPR, HIPAA, etc.)
Ability to diagnose and resolve complex production issues in high-criticality environments
Strong communication and cross-team collaboration abilities
Experience working in cloud environments (AWS, Azure, GCP)
Familiarity with DevSecOps practices and CI/CD pipelines
Prior experience mentoring or leading junior engineers
Background with big data platforms (Snowflake, Hadoop ecosystem, Spark) is a plus

Medical, dental, vision
Life insurance
Disability
Accidental death and dismemberment
Tax-preferred savings accounts
401k plan
No less than 10 days of vacation (prorated based on date of hire and full-time or part-time status) during their first year of employment
10 sick days (prorated)
Paid holidays
Defined benefit pension plan (depending on position and division eligibility)
Restricted stock units (depending on position and division eligibility)
Deferred compensation plan (depending on position and division eligibility)

Security Engineer (Data Engineering/ Protection)

Job Description