Senior Data Protection Engineer-Cryptography and Tokenization

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Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)

The Senior Data Protection Engineer will serve as the primary technical expert for Protegrity within the organization, responsible for designing, implementing, and supporting enterprise level data protection solutions. This role leads the integration of Protegrity with new and existing business applications, ensuring sensitive data is secured through tokenization, masking, and encryption. Hands on experience integrating Protegrity or a similar enterprise data protection platform is required. Familiarity with DevSecOps practices and CI/CD pipelines is also required. 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. Additionally, this role will mentor junior engineers and contribute to establishing standards, patterns, and best practices for secure data handling.

***On-site 5 days a week/non-sponsorship role***

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.

• Mentor and train junior engineers to build internal capability and ensure continuity of subject matter expertise.

• 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 eight years of experience in systems engineering or administration or an equivalent combination of education and work experience

• Deep specialized and/or broad functional 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 leading complex IT projects

Preferred Qualifications: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 (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.).

• Strong SQL and analytical skills.

• 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.

• 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.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive 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, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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