Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 56.
At Cibc, jobs usually come down by about day 12.
From 13,649 similar postings that came down, and 147 of Cibc’s. Coming down is not always a hire.
Toronto, ON
Live, first seen by us 3 hours agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
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
You can demonstrate experience in: leading the design, development, testing, and implementation of enterprise-scale data solutions in financial services using Microsoft Azure Products, Databricks, Azure Data Factory, Python, Spark, SQLMI and Azure Fabric implementations. You have a proven track record of acting as technical lead or solution owner on complex, multi-vendor programs, building and orchestrating metadata-driven data pipelines, Bronze/Silver/Gold data lake patterns, operational data stores, and DevOps-based CI/CD deployment. Experience leading large-scale data migrations and with collections, recovery or lending data and vendor-hosted SaaS platforms is a major asset.
You have experience with: Oracle RDBMS, ETL tools, REST APIs, SFTP/batch file integrations, Tableau, Alteryx, workload automation / job scheduling tools (e.g., Autosys), ServiceNow, Jira, Confluence, and/or other build & deploy tools, along with experience on Windows and Unix platforms.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 0
Early. Similar jobs usually come down between day 6 and day 56.
At Cibc, jobs usually come down by about day 12.
From 13,649 similar postings that came down, and 147 of Cibc’s. Coming down is not always a hire.
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
What you'll be doing You’ll be joining CIBC’s Client Account Management (CAM) Technology team within Distribution & Cards Technology (DCT). As a Sr. Consultant, Data Developer, you’ll be a senior technical leader in CAM’s technology transformation, modernizing the collections, recovery and insolvency platforms that support CIBC Retail, Small Business and Simplii clients. You’ll own the end-to-end data solution for CAM, setting the technical direction and leading the design, development, testing and implementation of the CAM data layer, including ETL pipelines, an operational data store (ODS) and large-scale data migration. You’ll do this across a cross-functional, multi-platform, multi-vendor SaaS/PaaS ecosystem built on Microsoft Azure, Databricks, Python, Azure Data Factory and DevOps (GitHub), and you’ll act as the key technical point of contact for business partners, architecture and vendors. 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.
Who you are - You can demonstrate experience in: leading the design, development, testing, and implementation of enterprise-scale data solutions in financial services using Microsoft Azure Products, Databricks, Azure Data Factory, Python, Spark, SQLMI and Azure Fabric implementations. You have a proven track record of acting as technical lead or solution owner on complex, multi-vendor programs, building and orchestrating metadata-driven data pipelines, Bronze/Silver/Gold data lake patterns, operational data stores, and DevOps-based CI/CD deployment. Experience leading large-scale data migrations and with collections, recovery or lending data and vendor-hosted SaaS platforms is a major asset. - You have experience with: Oracle RDBMS, ETL tools, REST APIs, SFTP/batch file integrations, Tableau, Alteryx, workload automation / job scheduling tools (e.g., Autosys), ServiceNow, Jira, Confluence, and/or other build & deploy tools, along with experience on Windows and Unix platforms.
Skills AI Agents, AI Agents, Analytical Thinking, API Development, API Integration, Azure Data Lake, Client Service, Data Automation, Database Design, Database Engineering, Database Modeling, Data Engineering, Data Lake, Data Migration Projects, Data Migrations, Data Modeling, Data Movement, ETL Design, ETL Development, ETL Processing, GitHub, Leadership, Microsoft Azure, Project Controls, Project Delivery {+ 4 more}
- You can demonstrate experience in: leading the design, development, testing, and implementation of enterprise-scale data solutions in financial services using Microsoft Azure Products, Databricks, Azure Data Factory, Python, Spark, SQLMI and Azure Fabric implementations. You have a proven track record of acting as technical lead or solution owner on complex, multi-vendor programs, building and orchestrating metadata-driven data pipelines, Bronze/Silver/Gold data lake patterns, operational data stores, and DevOps-based CI/CD deployment. Experience leading large-scale data migrations and with collections, recovery or lending data and vendor-hosted SaaS platforms is a major asset. - You have experience with: Oracle RDBMS, ETL tools, REST APIs, SFTP/batch file integrations, Tableau, Alteryx, workload automation / job scheduling tools (e.g., Autosys), ServiceNow, Jira, Confluence, and/or other build & deploy tools, along with experience on Windows and Unix platforms. - You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.
Complete your application on cibc.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Senior Consultant, Data Developer job there since June 2026. It came down after 6 days.
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
What you'll be doing
You’ll be joining CIBC’s Client Account Management (CAM) Technology team within Distribution & Cards Technology (DCT). As a Sr. Consultant, Data Developer, you’ll be a senior technical leader in CAM’s technology transformation, modernizing the collections, recovery and insolvency platforms that support CIBC Retail, Small Business and Simplii clients. You’ll own the end-to-end data solution for CAM, setting the technical direction and leading the design, development, testing and implementation of the CAM data layer, including ETL pipelines, an operational data store (ODS) and large-scale data migration. You’ll do this across a cross-functional, multi-platform, multi-vendor SaaS/PaaS ecosystem built on Microsoft Azure, Databricks, Python, Azure Data Factory and DevOps (GitHub), and you’ll act as the key technical point of contact for business partners, architecture and vendors.
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.
How you'll succeed
Who you are
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 aspire to give you a career, rather than just a paycheck.
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.
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.
We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
*Subject to plan and program terms and conditions
What you need to know
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.
Job Location
Toronto-81 Bay, 23rd FloorEmployment Type
RegularWeekly Hours
37.5Skills
AI Agents, AI Agents, Analytical Thinking, API Development, API Integration, Azure Data Lake, Client Service, Data Automation, Database Design, Database Engineering, Database Modeling, Data Engineering, Data Lake, Data Migration Projects, Data Migrations, Data Modeling, Data Movement, ETL Design, ETL Development, ETL Processing, GitHub, Leadership, Microsoft Azure, Project Controls, Project Delivery {+ 4 more}Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Toronto, ON
You’ll be joining CIBC’s Client Account Management (CAM) Technology team within Distribution & Cards Technology (DCT). As a Sr. Consultant, Data Developer, you’ll be a senior technical leader in CAM’s technology transformation, modernizing the collections, recovery and insolvency platforms that support CIBC Retail, Small Business and Simplii clients. You’ll own the end-to-end data solution for CAM, setting the technical direction and leading the design, development, testing and implementation of the CAM data layer, including ETL pipelines, an operational data store (ODS) and large-scale data migration. You’ll do this across a cross-functional, multi-platform, multi-vendor SaaS/PaaS ecosystem built on Microsoft Azure, Databricks, Python, Azure Data Factory and DevOps (GitHub), and you’ll act as the key technical point of contact for business partners, architecture and vendors. 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. How you'll succeed
- 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).