Principal Data Protection Engineer
Core
Lead the design, development, and automation of data protection capabilities embedded across enterprise platforms and services, focusing on privacy-by-design architectures and AI-enabled solutions.
Role type
Principal Data Protection Engineer (Technical Lead)
Builds
Production-grade APIs, data protection services, automation tooling, and agentic agents for secure data workflows.
Domain
Digital Infrastructure / Cybersecurity / Privacy Engineering / AI Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Data protection engineering, privacy engineering, secure data architecture, RESTful/gRPC API design, Python, Go (Golang), threat modeling, CI/CD automation, cloud platform operations (AWS/Azure/GCP), containerization (Docker/Kubernetes), data governance and compliance.
Preferred skills
AI and agentic systems integration, privacy-preserving ML, open-source technology evaluation, advanced programming in additional languages.
Technologies
Python, Go (Golang), Docker, Kubernetes, AWS, Azure, GCP, GitHub Actions, RESTful APIs, gRPC, API gateways.
Responsibilities
Design and implement data protection controls across data lifecycle layers; define privacy-by-design patterns for platforms and AI systems; develop and deliver production-grade APIs for data protection capabilities; build integrations and automation pipelines for security and privacy workflows; evaluate and integrate AI technologies for data protection and enforcement; lead technical implementation from design through production.
Seniority
Principal, hands-on technical leader with strategic oversight