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Canadian Imperial Bank of Commerce is seeking an Azure SQL & Data Lakehouse Engineer to design, develop and optimize backend databases and data warehousing in Azure. You will build and maintain ETL pipelines and tune performance while ensuring seamless data flow across teams.
You’ll collaborate with cross-functional partners and leverage PySpark, Azure Data Factory, Databricks and Delta tables within a hybrid work model (1–3 days on-site in Toronto).
We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute. To learn more about CIBC, please visit CIBC.com
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.
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.
CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency). We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.
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
At CIBC, we are in business to help our clients, employees and shareholders achieve what is important to them. Our ability to create value for all CIBC stakeholders is driven by a business culture based on common values: Trust, Teamwork and Accountability. Working with CIBC makes you a part of a work environment committed to our clients, employees and communities - a place where you can excel. Every day, our 48,000 employees help our clients achieve their financial goals, because what matters to our clients, matters to us.