Data Privacy Architect: Encryption, PETs & DLP Lead

Koitecc Solutions

Tallahassee (FL)

Hybrid

USD 107,000 - 284,000

Full time

13 days ago

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Job summary

CVS Health is seeking a Lead Data Privacy Engineer to advance enterprise privacy and data protection capabilities across structured and unstructured data. You will guide strategy, design, and PET deployments spanning encryption, tokenization, and DLP while aligning with regulatory requirements.

You will partner with engineering, product, legal, and security teams to embed privacy-by-design and lead risk assessments, threat modeling, and governance initiatives that strengthen data protection and

Qualifications

  • 7+ years advancing Privacy Engineering, Security Engineering, Data Protection, or related fields.
  • 5+ years designing and deploying enterprise-scale data protection capabilities.
  • Strong software engineering foundation with Python, Java, Go or similar.
  • 5+ years in cloud-native and DevSecOps environments with IaC and automation.
  • 3+ years leading cross-functional privacy initiatives with diverse teams.

Responsibilities

  • Lead strategy and implementation of enterprise data protection and privacy engineering across data environments.
  • Design, deploy, and optimize PETs including encryption, tokenization, anonymization, DLP, and classification.
  • Partner with engineering, legal, compliance, and cybersecurity to embed privacy-by-design.
  • Conduct privacy risk assessments, threat modeling, and control evaluations for audits and regulatory needs.
  • Drive governance, metrics, automation, and continuous improvement of privacy posture.

Skills

Privacy Engineering
Security Engineering
Data Protection
Cybersecurity
Cloud & DevSecOps

Education

Bachelor's degree

Tools

Python
Java
Go
CI/CD

Job description

CVS Health is seeking a Lead Data Privacy Engineer to advance enterprise privacy and data protection capabilities across structured and unstructured data. You will guide strategy, design, and PET deployments spanning encryption, tokenization, and DLP while aligning with regulatory requirements.

You will partner with engineering, product, legal, and security teams to embed privacy-by-design and lead risk assessments, threat modeling, and governance initiatives that strengthen data protection and

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