Senior Data Privacy Architect — Enterprise Privacy Engineer

CVS Health; Juneau (AK); On-site; USD 107,000 - 284,000; Full time

Job summary

CVS Health is seeking a Lead Data Privacy Engineer to advance enterprise privacy engineering and data protection across structured and unstructured data. You will translate regulatory requirements into scalable architectures, govern privacy controls, and drive automated solutions to protect PHI, PII, and other sensitive data.

You’ll collaborate with Cybersecurity, Legal, Compliance, Product, and Data teams to implement privacy-by-design and leverage PETs, encryption, and data loss prevention at

Qualifications

• 7+ years advancing privacy engineering, security engineering, data protection, or related disciplines with regulatory experience.
• 5+ years designing and deploying enterprise-scale data protection and PETs.
• 5+ years coding + integrating solutions in Python, Java, Go, or similar languages.
• 5+ years in cloud-native/DevSecOps environments with CI/CD, IaC, and security automation.
• 3+ years leading cross-functional privacy and compliance initiatives.

Responsibilities

• Lead strategy and continuous improvement of data protection and privacy engineering across data environments.
• Design and deploy Privacy Enhancing Technologies (PETs) like encryption, tokenization, anonymization, DLP.
• Partner with cross-functional teams to embed privacy-by-design and translate requirements into architectures.
• Conduct privacy risk assessments, threat modeling, and control evaluations for compliance.
• Drive governance, metrics, automation, and emerging privacy tech to strengthen posture.

Skills

Privacy Engineering

Security Engineering

Data Protection

Cybersecurity

Programming (Python/Java/Go)

Cloud/DevSecOps

Education

Bachelor's degree or equivalent

Job description

CVS Health is seeking a Lead Data Privacy Engineer to advance enterprise privacy engineering and data protection across structured and unstructured data. You will translate regulatory requirements into scalable architectures, govern privacy controls, and drive automated solutions to protect PHI, PII, and other sensitive data.

You’ll collaborate with Cybersecurity, Legal, Compliance, Product, and Data teams to implement privacy-by-design and leverage PETs, encryption, and data loss prevention at