The role involves leading the technical architectural design and implementation of global privacy systems. The individual will bridge the gap between legal requirements and technical reality by building engines, data pipelines, and anonymization frameworks. Responsibilities include designing data handling systems for regulatory compliance and developing computer vision pipelines to detect and blur personally identifiable information. The position requires writing scalable code to enforce data retention policies and access controls across distributed infrastructure. Additionally, the role involves conducting privacy impact assessments and threat modeling for new features.

Candidates must possess a Bachelor of Science degree in Computer Science or a related technical field, or equivalent practical experience. A minimum of eight years of experience in software engineering with a focus on privacy, security, or data infrastructure is required. Proficiency in general-purpose programming languages such as Python, C++, or Java is necessary. Applicants must have a deep understanding of GDPR and experience working with large-scale data processing frameworks and cloud infrastructure.