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 workloadsConnect AI capabilities with workflows through MCPs and APIsAutomate repeatable data preparation and integration tasksMaintain data assets across Dev, UAT, and ProductionCollaborate in sprints, standups,



and cross-functional ceremoniesRequirements:

Degree in computer science, software, data engineering, or related fieldExperience with Databricks, Snowflake, Spark, and cloud-native servicesFamiliarity with Generative AI, RAG, vector databases, and LLM servingProficiency with CI/CD tools and infrastructure-as-code practicesKnowledge of financial, wealth, or investment management is advantageousUse cloud data platforms, Generative AI workflows, and production engineering practices to advance RBC Wealth Management’s data foundation.

📌 Generative Ai Data Platform Engineer (Winnipeg)
🏢 ODAIA
📍 Winnipeg