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 up-to-date 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.

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