Senior Consultant, Data Engineering & Ai Analytic Enablement
CIBC
Toronto, ON, CA
Not specified; competitive salary mentioned; incen...
Hybrid
7+ years data architecture experience
Python pyspark sql proficiency
Azure cloud databricks data factory
This role focuses on designing scalable data platforms that support analytics and AI-driven workflows for the Equities Technology team
Job Summary
This role focuses on designing scalable data platforms that support analytics and AI-driven workflows for the Equities Technology team.
Candidates will lead the delivery of data-driven insights to evaluate client behaviors and optimize business decisions regarding products and pricing.
The position offers a hybrid work arrangement allowing 1-2 days per week on-site in Toronto with competitive benefits including a defined benefit pension plan.
Matching Summary
This role focuses on designing scalable data platforms that support analytics and AI-driven workflows for the Equities Technology team.
Salary
Not specified; Competitive salary mentioned; Incentive pay and banking benefits included
Skills & Requirements
Must-have
7+ years data architecture experience
Python PySpark SQL proficiency
Azure Cloud Databricks Data Factory
Scalable ETL ELT pipeline design
Real-time streaming with Apache Kafka
Nice-to-have
Multi-agent AI framework design
LLM integration into workflows
React Angular web technologies
C# Java Rust programming
Capital Markets domain knowledge
Key Requirements
7+ years in data architecture roles
5+ years experience with Python PySpark SQL
Experience with Azure App Service and DevOps tools