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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

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

Essential Duties and Responsibilities

Following is a summary of the essential functions for this job.  Other duties may be performed, both major and minor, which are not mentioned below.  Specific activities may change from time to time. 

• 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.

Qualifications

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 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

Preferred Qualifications:

• 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 (