Senior Consultant, Data Engineering & AI Analytic Enablement
About The Position
The Senior Consultant, Data Engineering & AI Analytic Enablement role will be accountable for the day-to-day and strategic opportunities that align with the Equities Technology team, within Capital Markets Technology. You will focus on designing and build scalable data platforms supporting analytics, and AI-driven workflows. This role combines data engineering, data modeling, and applied AI development to enable analytics use cases. You will create next generation analytics assets to enable data-driven decision making for business partners. In this role, you will lead the delivery of data driven insights and solutions to evaluate client behaviors and to optimize business decisions related to product, campaign, pricing and other business areas. Our team is at the forefront of designing scalable, secure, and high-performing data solutions that enable business intelligence, advanced analytics, and AI-driven innovation. At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-2 days per week on-site, while other days will be remote.
Requirements
- 7+ years in data architecture and engineering roles within large-scale enterprise environments.
- 5+ years' experience in languages (Python, PySpark, SQL), Databases, Azure Cloud, ETL (Databricks, Azure Data Factory, Data lake/warehouse technologies), Azure App Service (Function App, Web Service, API App), Tools (source control/issue management: Azure DevOps, Git, Jenkins, JIRA), Application Health-check and Innovation.
- DevOps adoption
Nice To Haves
- Experience with C#, Java, AI implementation, and experience integrating LLMs or AI tools into workflows.
Responsibilities
- Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions.
- Establish data governance and quality frameworks - ensuring adherence to regulatory and internal standards.
- Contribute to the design and development of a multi-agent AI framework that integrates with enterprise data platforms for intelligent automation and decision-making.
- Track progress and conduct analysis of data and reports.
- Support in the tracking and communication of performance metrics.
- Translate business requirements into scalable data solutions.
- Design, build, and maintain scalable ETL/ELT pipelines.
- Implement robust data ingestion frameworks (batch and real-time).
- Ensure pipeline reliability, performance, and observability.
- Design and maintain silver layer tables and views to support analytics and reporting.
- Designing and implementing applications for Data Integration in Azure cloud.
- Experience leading the execution across multiple technologies and projects.
- Demonstrated ability to design and develop applications with proficiency in Python, Java, Rust, and web-based technologies such as HTML, CSS, JavaScript, React, and Angular.
- Experience with cross-platform integration to ensure seamless communication and data exchange between diverse systems, applications, and technologies.
Benefits
- competitive salary
- incentive pay
- banking benefits
- a benefits program
- defined benefit pension plan
- an employee share purchase plan
- a vacation offering
- wellbeing support
- MomentMakers, our social, points-based recognition program
- Purpose Day; a paid day off dedicated for you to use to invest in your growth and development
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
