Senior Consultant, Data Engineering & Ai Analytic Enablement

CIBC Capital Markets

Toronto, ON, CA
Competitive salary; incentive pyy; defined benefit...
Hybrid
7+ years data architecture experience
Python pyspark sql proficiency
Azure cloud databricks expertise
The role focuses on designing and building scalable data platforms that support analytics and AI-driven workflows within the Equities Technology team

Job Summary

  • The role focuses on designing and building scalable data platforms that support analytics and AI-driven workflows within the Equities Technology team.
  • Candidates will lead the delivery of data-driven insights to evaluate client behaviors and optimize business decisions related to product and pricing.
  • CIBC offers a hybrid work arrangement allowing 1-2 days per week on-site, along with competitive benefits including a defined benefit pension plan.

Matching Summary

The role focuses on designing and building scalable data platforms that support analytics and AI-driven workflows within the Equities Technology team.

Salary

Competitive salary; Incentive pay; Defined benefit pension plan

Skills & Requirements

Must-have

  • 7+ years data architecture experience
  • Python PySpark SQL proficiency
  • Azure Cloud Databricks expertise
  • Scalable ETL pipeline design
  • Real-time streaming implementation
  • Multi-agent AI framework development

Nice-to-have

  • C# Java Rust web technologies
  • React Angular frontend skills
  • LLM integration experience
  • Cross-platform system integration
  • Strong stakeholder collaboration
  • Innovative problem-solving mindset

Key Requirements

  • 7+ years in data architecture roles
  • 5+ years in Python PySpark SQL
  • Experience with Azure Data Factory
  • Proven track record in enterprise environments
  • Legal eligibility to work in Canada

Work Rights

Must be legally eligible to work in Canada

Tailored Resume

Cover Letter