Azure Engineer, SQL & Data Lakehouse

CIBC•Toronto, ON

2d•Hybrid

About The Position

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.

Requirements

Designing and optimizing backend databases
Writing complex SQL queries and stored procedures, functions, triggers and advanced performance tuning
Building robust ETL pipelines for large datasets
Implemented data models and warehousing solutions
Performed performance tuning and troubleshooting in Azure SQL environments
Familiarity with modern data tools such as PySpark, Azure Data Factory, Databricks, and Delta tables/Lakehouse architecture
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

Nice To Haves

Proficient in understanding and utilizing Agentic AI technologies, such as Copilot, to enhance productivity and drive innovative solutions.

Responsibilities

Design, develop, and optimize backend databases and data warehousing solutions in Azure cloud environments.
Manage large datasets exceeding 5TB.
Build and maintain robust ETL pipelines.
Write complex SQL queries and stored procedures, functions, and triggers.
Perform advanced performance tuning.
Troubleshoot database objects.
Collaborate with cross-functional teams to ensure seamless end-to-end data flow.
Implement data models and warehousing solutions to meet evolving business needs.
Support and enhance Azure Cloud infrastructure as it relates to database and data pipeline solutions.
Work with PySpark, Azure Data Factory, Databricks, and Delta tables/Lakehouse architecture to deliver modern data solutions.
Utilize Agentic AI technologies, such as Copilot, to enhance productivity and drive innovative solutions.
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.
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.
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.