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Senior Consultant, Data Developer

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workYou need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.
Apply at Cibc

Posting record

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Status in our records
Live
First seen by us
Nov 13, 2026today
Recorded sightings
1
Reposted
once since Oct 1, 2026

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.

How this job compares

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.

Cibc is hiring

13 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 8% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Python
  • Azure
  • Databricks
  • Oracle
  • Spark
  • Tableau
Where the posting names them
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.

Your next step

Complete your application on cibc.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

Has Cibc posted this job before?

Yes. We’ve followed one other Senior Consultant, Data Developer job there since June 2026. It came down after 6 days.

  1. TorontoCame down after 6 days, first seen Jun 18
  2. This jobUp 0 days so far, first seen Nov 13

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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

  • Technical direction and architecture: Define and own the target-state data architecture, design patterns and engineering standards for the CAM data layer. Partner with Enterprise Architecture, Data Governance and Information Security to secure design approvals and make sound trade-off decisions on scalability, resilience, cost and risk.
  • Engineering delivery: Lead and contribute to the development of complex, high-volume data engineering solutions, including metadata-driven ETL pipelines that transform inbound product partner files into vendor-standard formats. Set code quality, testing, performance tuning and CI/CD standards, and remain hands-on for the most critical components.
  • Product ownership: Act as the accountable technical owner for CAM data applications, driving the roadmap, delivery planning, estimates, production stability and continuous improvement, and representing the platform in governance and steering forums.
  • Systems integration and vendor oversight: Lead the technical design and integration of cross-functional, multi-platform systems, including batch file and API integrations between CIBC host systems, the CAM data layer and external vendors. Hold vendors accountable to technical requirements, SLAs and delivery commitments.
  • Data migration and quality: Own the data migration strategy and approach, including mapping, profiling, transformation, reconciliation, mock conversions, cutover and post-implementation verification, and define data quality controls and sign-off criteria.
  • Stakeholder leadership: Influence CAM business partners, technology lines of business, business systems analysts, QA, vendors, Information Security and governance teams. Translate business needs into technical solutions, proactively raise risks, issues and dependencies, and drive decisions to meet risk and compliance standards.
  • Team leadership and mentorship: Provide technical leadership to developers and contract resources, assign and review work, conduct code reviews, coach team members, and lead production readiness, incident resolution and Day 2 operations.

 

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.
  • You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.
  • Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard. 
  • You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to create a shared vision.
  • You live your values. You bring high standards, genuine care to your relationships, and want to grow with an employer that shares your values and brings out your best.

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 Floor

Employment Type

Regular

Weekly Hours

37.5

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}
Source details

View original posting ↗

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Pay

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Location & working pattern

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
Work authorization
- 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).

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