Build trusted data discovery capabilities for TD in Toronto, using knowledge graphs, PostgreSQL, Python, and enterprise data engineering practices.
This Software Engineer III role leads Data Catalog services within the Enterprise Data Management Office. You will design normalized relational and graph-oriented models supporting lineage, dependency mapping, and connected-data discovery. The work includes ingestion, extraction, data lakes, curated datasets, and downstream interfaces. You will also guide architecture, delivery, governance, and operational quality across complex platforms.
Key Responsibilities: Design knowledge graph models with nodes, edges, and traversal patterns
Develop reusable REST, Graph API, Kafka, and batch ingestion patterns
Build scalable raw, standardized, and curated data lake layers
Investigate discrepancies,



schema changes, ingestion failures, and performance issues
Enable downstream consumption through APIs, extracts, and event interfaces
Requirements: Five to seven-plus years of relevant experience
Solid PostgreSQL, SQL, Python, and high-volume processing experience
Hands-on knowledge graph or graph database engineering experience
Understanding of SQL and NoSQL trade-offs
Experience with data quality controls and source-to-target reconciliation
Apply data modeling, knowledge graph, and integration expertise to TD’s enterprise Data Catalog services in Toronto.

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📌 Knowledge Graph Data Engineer TD (Ontario)
🏢 TD Bank Group
📍 Ontario