We’re building a relationship-oriented bank for the modern world. You’ll be joining CIBC’s Financial Crimes and Enterprise Risk Technology. You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale projects involving multiple back-end systems.

As the Consultant, Application Developer (Data Engineer), you’ll exercise significant judgement and autonomy, own key technical decisions, lead impact analysis and design reviews, resolve complex production issues, optimize platform cost and performance, and partner with architecture, governance, security, business, and delivery stakeholders to translate requirements into sustainable data solutions. To successfully perform the work, you’ll be on-site full time. 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.

Technical

Management and Engineering Excellence- Lead the end-to-end technical design and delivery of enterprise data pipelines, reusable frameworks, and governed data products on Azure Databricks. Define and enforce engineering standards for code quality, testing, version control, deployment, documentation, security, monitoring, and supportability.

Azure

Databricks and Lakehouse Engineering- Architect, build, test, deploy, and support production-grade batch and streaming pipelines using Azure Databricks, Spark/PySpark, SQL, Delta Lake, Auto Loader, Structured Streaming, and Lakeflow. Establish automated testing and CI/CD practices using Git-based workflows and Databricks deployment capabilities, enabling repeatable promotion across development, test, and production environments.

Relationship

Management- Build strong relationships and partnerships with technical team members, business stakeholders, data owners, governance teams, clients, vendors, and peers. Work closely with business partners to ensure applications, systems,



data pipelines, and supporting processes operate effectively, efficiently, and securely. Progressive data engineering experience, including technical leadership of data solutions.

Hands-on experience with Databricks and Spark, including recent delivery and support of production-grade pipelines. Strong expertise in delivering governed lakehouse solutions with Delta Lake, Unity Catalog, batch and streaming ingestion, orchestration, monitoring, and performance optimization. Strong exposure in implementing automated testing and CI/CD for Databricks workloads across multiple environment.

Good knowledge on Azure data services, enterprise production support, Agile delivery, and modernization from legacy ETL platforms such as Informatica. You find meaning in relationships and surround yourself with a diverse network of partners. You have Computer Science, or a related field of study.

We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program. 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.

Applications

Programming IT Strategic Planning Project Management Technology At CIBC, we are in business to help our clients, employees and shareholders achieve what is important to them. 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. #

📌 Consultant, Application Developer (Data Engineer) (Toronto)
🏢 CIBC US
📍 Toronto