Sr Cloud Data Engineer

You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale mobile projects involving multiple back-end systems. As a Sr Cloud Data Engineer, you’ll assemble, implement, and maintain easy, flexible, and personalized solutions .You’ll lead the planning and strategy for the technical design, development, and integration of applications.

At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

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.

You can demonstrate experience atleast 5+ years of experience and the Cloud Data Engineer is responsible for designing, developing, and maintaining scalable data solutions using cloud technologies. This role leverages expertise in Azure Data Factory, Azure Databricks, and Power BI to build and optimize data pipelines and analytics solutions. The incumbent works with large data sets utilizing Python, PySpark, and SAS, and applies sound data modeling principles to enable effective data management and reporting. The Cloud Data Engineer ensures the quality and reliability of data products through the creation of unit test cases and supports the implementation of data mesh architecture within the cloud infrastructure.