Engineer data platforms for Generative AI, RAG, and analytics at RBC Wealth Management in Toronto, using Databricks, Snowflake, Spark, and cloud services.
This data engineering role supports contemporary AI and BI capabilities across RBC Wealth Management. You will build production-grade infrastructure, integrate models with business workflows, and maintain consistent data assets across development, UAT, and production. The position also contributes to governance, security, automation, and Agile delivery.
Key Responsibilities: Build infrastructure supporting AI/ML and analytics workloads
Connect AI capabilities with workflows through MCPs and APIs
Automate repeatable data preparation and integration tasks
Maintain data assets across Dev, UAT, and Production
Collaborate in sprints, standups,



and cross-functional ceremonies
Requirements: Degree in computer science, software, data engineering, or related field
Experience with Databricks, Snowflake, Spark, and cloud-native services
Familiarity with Generative AI, RAG, vector databases, and LLM serving
Proficiency with CI/CD tools and infrastructure-as-code practices
Knowledge of financial, wealth, or investment management is advantageous
Use cloud data platforms, Generative AI workflows, and production engineering practices to advance RBC Wealth Management’s data foundation.

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📌 Generative AI Data Platform Engineer (Ontario)
🏢 ODAIA
📍 Ontario