Senior Data Privacy Engineer: Privacy-by-Design Leader

CVS Health; Boston (MA); 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 strategies across structured and unstructured data. You will lead PET deployment, data discovery, encryption, tokenization, and privacy-by-design initiatives in collaboration with Cybersecurity, Legal, Compliance, and Product teams.

Ideal candidates have 7+ years in privacy/security engineering and 5+ years in cloud-native environments, with strong Python/Java/Go experience.

Qualifications

• 7+ years advancing Privacy Engineering, Security Engineering, Data Protection, Cybersecurity, or related technical disciplines.
• 5+ years designing and deploying enterprise-scale data protection capabilities, including encryption, tokenization, key management, data classification, DLP, PETs.
• Strong software engineering foundation with 5+ years developing, integrating, and automating solutions using Python, Java, Go, or similar.
• 5+ years operating within cloud-native and DevSecOps environments, leveraging CI/CD pipelines, IaC, security automation.
• 3+ years leading complex cross-functional privacy, data protection, cybersecurity initiatives.

Responsibilities

• Lead the strategy and implementation of enterprise data protection and privacy engineering capabilities across data environments.
• Design, deploy, and optimize Privacy Enhancing Technologies (PETs) and DLP solutions.
• Partner with cross-functional teams to embed privacy-by-design principles and translate regulatory requirements into scalable architectures.
• Conduct privacy risk assessments, threat modeling, and control evaluations for audits and compliance.
• Drive governance metrics, automation, and emerging privacy technologies to strengthen privacy posture.

Skills

Python

Java

Go

Education

Bachelor's degree

Tools

AWS

Azure

GCP

Job description

CVS Health is seeking a Lead Data Privacy Engineer to advance enterprise privacy engineering and data protection strategies across structured and unstructured data. You will lead PET deployment, data discovery, encryption, tokenization, and privacy-by-design initiatives in collaboration with Cybersecurity, Legal, Compliance, and Product teams.

Ideal candidates have 7+ years in privacy/security engineering and 5+ years in cloud-native environments, with strong Python/Java/Go experience.