Lead Data Privacy Engineer
Core
Designing and implementing scalable privacy and security solutions to safeguard sensitive customer, patient, and member data while enabling business innovation.
Role type
Lead Data Privacy Engineer
Builds
Enterprise data protection capabilities, privacy-preserving architectures, and regulatory compliance frameworks
Domain
Healthcare / Data Privacy & Security
Deliverable
production ML models | product features | infrastructure
Required skills
Privacy Engineering, Security Engineering, Data Protection, GDPR/CCPA/HIPAA compliance, Encryption, Tokenization, Key Management, Data Classification, DLP, Python, Java, Go, Cloud (AWS/Azure/GCP), DevSecOps, CI/CD, IaC, Threat Modeling, Privacy Impact Assessments, Data Governance, Automation
Preferred skills
CDPSE/CIPP/CIPT/CISSP certifications, NIST/ISO 27001/HITRUST frameworks, AI/ML for privacy, PHI/PII protection in regulated environments
Technologies
Python, Java, Go, AWS, Azure, GCP, SQL, NoSQL
Responsibilities
Lead strategy and implementation of enterprise data protection across structured/unstructured data; Design and optimize PETs (encryption, tokenization, anonymization); Partner with engineering/legal to embed privacy-by-design; Conduct privacy risk assessments and threat modeling; Drive data governance, metrics, and automation initiatives
Seniority
Senior, hands-on IC with leadership responsibilities
