What you'll be doing
As an Azure SQL & Data Lakehouse Engineer, you will design, develop, and optimize backend databases and data warehousing solutions in Azure cloud environments, managing large datasets exceeding 5TB. You’ll build and maintain robust ETL pipelines, write complex SQL queries and stored procedures, functions, triggers and advanced performance tuning. Your daily work will involve performance tuning and troubleshooting database objects, as well as collaborating with cross-functional teams to ensure seamless end-to-end data flow. You’ll implement data models and warehousing solutions to meet evolving business needs, leveraging your expertise in data modeling and Azure SQL. You’ll support and enhance Azure Cloud infrastructure as it relates to database and data pipeline solutions. Additionally, you may work with PySpark, Azure Data Factory, Databricks, and Delta tables/Lakehouse architecture to deliver modern data solutions and Proficient in understanding and utilizing Agentic AI technologies, such as Copilot, to enhance productivity and drive innovative solutions.
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.
How you'll succeed
Design and development - Perform and coordinate complicated application programming activities. Design the application's technical infrastructure using specific databases, programming languages, utilities, and testing approaches. Lead the design and development of cost-effective and innovative solutions.
Strategic planning - Develop multi-year technology roadmaps that align with the bank’s vision, strategy, and business goals. Lead multiple complicated projects involving backend systems, new technology, and the enhancement of existing applications.
Leadership skills - Act as the mobile development team lead and run code-review sessions with the wider team to ensure the project is on track to meet goals. Support and mentor intermediate and senior developers by sharing knowledge, collaborating and problem solving.
Who you are
You embrace and advocate change. You'll continuously evolve your thinking and the way you work in order to deliver your best.
Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.
You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
You're motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
You can demonstrate experience in: Designing and optimizing backend databases, writing complex SQL queries and stored procedures, functions, triggers and advanced performance tuning and building robust ETL pipelines for large datasets. You have implemented data models and warehousing solutions, and performed performance tuning and troubleshooting in Azure SQL environments. Additionally, you are familiar with modern data tools such as PySpark, Azure Data Factory, Databricks, and Delta tables/Lakehouse architecture.
Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
What CIBC Offers
At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.
We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs and MomentMakers, our social, points-based recognition program.
Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
*Subject to program terms and conditions
Expected End Date
2026-08-31
Job Location
Toronto-81 Bay, 23rd Floor
Employment Type
Regular
Weekly Hours
37.5
Skills
Analytical Thinking, Application Development, Building Architecture, Databricks Unity Catalog, Data Model Design, Emerging Technologies, Large Scale Data Processing, Microsoft Azure Databricks, Microsoft Azure SQL Database, Performance Tuning, SQL Databases, Work Collaboratively
