Senior Analytics Engineer, Borrowing Solutions

CIBC•Toronto, ON

3d•Hybrid

About The Position

As a Senior Analytics Engineer, Borrowing Solutions, you'll be a key member of the AI, Data & Analytics Office, reporting to the Director, Frontline Analytics & Insights - Borrowing Solutions. You’ll support Borrowing Solutions and Alternate Channels within Personal Banking by transforming, modelling, testing, and organizing data so analysts and business partners can rely on trusted datasets to make informed decisions. You'll play a critical role in driving data modernization initiatives that enable outcome-based, data-driven decision-making across frontline business functions. You'll design and build scalable data pipelines, modernize backend data models, and deliver AI-driven capabilities that empower analysts and business partners to self-serve insights. Your focus will be on automating and scaling solutions that transform fragmented, manual reporting into governed, reusable data products and reporting solutions. You’ll collaborate closely with stakeholders to ensure data assets are accurate, well-structured, and aligned to enterprise standards, while helping enable more proactive, outcome-based decision-making across the business. 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 1-3 days per week on-site, while other days will be remote.

Requirements

You bring strong data engineering / analytics engineering experience. You have 5+ years of progressive experience in data engineering, analytics engineering, or a related field, ideally within financial services or another regulated, data-intensive environment.
You have experience with modern data platforms. You’re proficient in Databricks, Delta Lake, PySpark, Spark SQL, and medallion architecture, with the ability to develop scalable solutions that support both analytics and engineering outcomes.
You’re highly skilled in data modeling and analytics. You apply dimensional modeling, slowly changing dimensions, data quality controls, reconciliation, and performance optimization at scale.
You understand reporting and self-serve analytics. You have experience supporting Power BI semantic models, datasets, DAX, and role-based data access, with an understanding of how trusted data foundations enable strong reporting experiences.
You have practical AI/ML literacy. You know when to apply machine learning or deterministic logic and have experience with LLMs and generative AI for business insights.
You’re a strong communicator and collaborator. You can translate business requirements into effective data solutions, communicate clearly with both technical and non-technical partners, and help ensure data products are practical, usable, and aligned to decision-making needs.
Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.

Responsibilities

Lead Data Modernization Initiatives – Build and maintain Databricks Lakehouse architectures, migrating manual reporting processes into automated Delta Lake pipelines.
Develop Scalable ETL/ELT Pipelines – Design, implement, and own transformation logic across Bronze, Silver, and Gold layers, ensuring data quality, reconciliation, and maintainability.
Build Governed Data Models – Create reusable Gold-layer data models that support frontline analytics and self-serve reporting, applying dimensional modeling and performance optimization practices.
Enable Self-Serve Reporting – Deliver Power BI semantic models, datasets, and dashboards, supporting scalable reporting and role-based data access.
Integrate AI-Enabled Capabilities – Design and implement practical AI-driven insight features, including automated narrative generation and natural-language querying, where they add measurable business value.
Act as Technical Lead – Lead migration workstreams, drive technical planning, documentation, and operational readiness, ensuring solutions are supportable and scalable.
Establish Engineering Standards – Promote reusable patterns, coding standards, and CI/CD practices suitable for Databricks and Power BI environments.
Bridge Business and Engineering - Translate business questions and reporting requirements into technical data solutions, partnering closely with stakeholders to ensure models and datasets reflect business priorities and decision-making needs.

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