Lead Data Engineer for AI Systems

About

Join RBC as a Lead Data Engineer, focusing on AI solutions in a high-performing, collaborative environment. The role involves developing scalable data pipelines and leading engineering initiatives.

In this position, you will drive the architecture and implementation of advanced data solutions within RBC's Enterprise Data and AI Hybrid Multi-cloud Platforms. You will also mentor a talented team, ensuring delivery meets strategic objectives while leveraging your data engineering and leadership skills. Strong written and verbal communication skills are essential for success in this dynamic role.

Drive impactful data solutions and enhance your AI engineering expertise at RBC.

Responsibilities

• Lead the design and implementation of agentic systems
• Architect RAG solutions for effective data analysis
• Build quality gates and evaluation harnesses for AI systems
• Develop batch and real-time data pipelines for analytics
• Collaborate with teams to define data standards and quality controls

Requirements

• Bachelor’s degree in computer science or related field
• 10+ years in software engineering with Python and SQL
• Solid experience with scalable data architectures
• Knowledge in data engineering tools like Airflow and Kafka
• Experience with AI-powered systems and observability metrics