Lead Data Privacy Engineer: Drive Privacy by Design & PETs

Koitecc Solutions; Atlanta (GA); On-site; USD 107,000 - 284,000; Full time

Benefits offered by this job

Comprehensive benefits

Bonus program

Equity award program

Job summary

CVS Health is seeking a Lead Data Privacy Engineer to advance enterprise privacy engineering and data protection across regulated environments. Lead PETs like encryption, tokenization, and DLP while ensuring privacy-by-design in collaboration with engineering, product, legal, and security teams.

The role focuses on data discovery, risk assessments, governance, and scalable architectures to safeguard PHI and PII, with strong emphasis on regulatory compliance and risk mitigation.

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, and insider risk controls.
• Strong software engineering foundation with 5+ years developing, integrating, and automating solutions using Python, Java, Go.
• 5+ years operating within cloud-native and DevSecOps environments, leveraging CI/CD pipelines, IaC, security automation, privacy threat modeling, and privacy impact assessments.
• 3+ years leading complex, cross-functional privacy, data protection, cybersecurity, or compliance initiatives.

Responsibilities

• Lead the strategy, prioritization, implementation, and continuous improvement of enterprise data protection and privacy engineering capabilities across structured and unstructured data environments.
• Design, deploy, and optimize Privacy Enhancing Technologies (PETs) including encryption, tokenization, anonymization, DLP, and other privacy-preserving solutions.
• Partner with engineering, product, legal, compliance, and cybersecurity teams to embed privacy-by-design principles and translate regulatory requirements into scalable architectures.
• Conduct privacy risk assessments, privacy impact assessments, threat modeling, and control evaluations to identify and mitigate risks.
• Drive governance, privacy metrics, automation, and advanced analytics to strengthen privacy posture and operational efficiency.

Skills

Privacy engineering

Security engineering

Data protection

Cybersecurity

Software development

Cloud native / DevSecOps

Stakeholder leadership

Education

Bachelor's degree

Tools

Python

Java

Go

Job description

CVS Health is seeking a Lead Data Privacy Engineer to advance enterprise privacy engineering and data protection across regulated environments. Lead PETs like encryption, tokenization, and DLP while ensuring privacy-by-design in collaboration with engineering, product, legal, and security teams.

The role focuses on data discovery, risk assessments, governance, and scalable architectures to safeguard PHI and PII, with strong emphasis on regulatory compliance and risk mitigation.