Engineer event-driven data mapping and ROPA infrastructure as a Privacy Operations Engineer at Thomson Reuters in hybrid Toronto, Ontario. Work across global privacy programs.

This position combines technical depth with working knowledge of privacy compliance and regulatory concepts. You will build discovery integrations, reconcile ROPA records, and support privacy-by-design across products and internal systems. Core technologies and platforms may include OneTrust, BigID, Collibra, AWS Macie, Azure Purview, database crawlers, and cloud environments.

Key Responsibilities:

- Build automated data flow inventories tied to intake
- Feed classifications and data flows into ROPA records
- Detect drift between records and discovery outputs




- Support data flow diagrams and architecture reviews
- Implement retention and deletion requirements technically

Requirements:

- Experience designing data discovery and mapping pipelines
- Experience integrating privacy platforms with internal systems
- Knowledge of structured and unstructured data sources
- Experience with cloud data infrastructure and discovery services
- Robust systems-design, troubleshooting, and communication skills

Bring data engineering, cloud discovery, and privacy-by-design experience to Thomson Reuters’ event-driven mapping infrastructure.

📌 Privacy Data Mapping Engineer (Toronto)
🏢 Reuters
📍 Toronto