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.

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