Cybersecurity Engineer - Data Protection Engineer
About The Position
The Data Protection Engineer will serve as a subject matter expert for Protegrity and data tokenization, helping to design, implement, and support enterprise-level data protection solutions. This role will focus on integrating Protegrity with new and existing business applications, ensuring sensitive data is secured through tokenization, masking, and encryption. The engineer will work closely with application teams, architects, cybersecurity leaders, and compliance stakeholders to apply best-in-class data protection controls across the enterprise. This position is onsite, office-centric (5 days a week), based in a Truist core location: North Carolina: Charlotte/Raleigh/Wilson/Greensboro Georgia: Atlanta Virginia: Richmond.
Requirements
- Bachelor’s degree and five years of experience in systems engineering or administration or an equivalent combination of education and work experience
- In-depth knowledge in applied enterprise information security technologies including but not limited to firewalls, intrusion detection/prevention systems, network operating systems, identity management, database activity monitoring, encryption, content filtering, and Mainframe security
- Previous experience in planning and managing IT projects
Nice To Haves
- 6+ years in software engineering, cybersecurity engineering, or data engineering roles.
- Experience working in cloud environments (AWS, Azure, GCP).
- Hands on DevSecOps experience with CI/CD pipelines (Gitlab, Terraform, IaC, etc.).
- Exposure to Protegrity or a similar enterprise data protection platform.
- Knowledge of: Tokenization (format-preserving, reversible, non-reversible) Data masking (static, dynamic) Encryption (symmetric, asymmetric, key management concepts)
- Experience with application integration patterns (APIs, SDKs, agents, proxy-based controls, microservices).
- Proficiency with at least one modern programming language (Java, Python, .NET, etc.).
- 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.
- Availability to provide after-hours, remote support for production rollout(s), on an occasional/as-needed basis.
Responsibilities
- Lead the design, implementation, and maintenance of enterprise data protection solutions using Protegrity, including tokenization, masking, and encryption controls.
- Serve as the primary 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 related to 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.
- Support ongoing operations and incident response activities for the organization’s Tier 1 data protection platform.
Benefits
- medical
- dental
- vision
- life insurance
- disability
- accidental death and dismemberment
- tax-preferred savings accounts
- a 401k plan
- no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment
- 10 sick days (also prorated)
- paid holidays
- defined benefit pension plan
- restricted stock units
- deferred compensation plan
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
