Consultant, Application Developer (Data Engineer)
Toronto, ON
We’re checking whether it has closed. This saved copy remains available for reference.
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingArchitect, build, test, deploy and support batch and streaming pipelines on Azure Databricks
Lead end-to-end technical design of enterprise data pipelines and reusable frameworks
Establish automated testing and CI/CD using Git-based workflows
Lead impact analysis and design reviews, and resolve complex production issues
Optimize platform cost and performance
From the employer’s posting
Architect, build, test, deploy, and support production-grade batch and streaming pipelines using Azure Databricks
Lead the end-to-end technical design and delivery of enterprise data pipelines, reusable frameworks, and governed data products on Azure Databricks.
Establish automated testing and CI/CD practices using Git-based workflows and Databricks deployment capabilities
lead impact analysis and design reviews, resolve complex production issues
optimize platform cost and performance
What you’ll bring
All qualificationsCore experience
- 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.
- Good knowledge on Azure data services, enterprise production support, Agile delivery, and modernization from legacy ETL platforms such as Informatica.
Qualification wording
You can demonstrate 5-8 years experience in. 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.
Tools in this posting
- SQL
- Azure
- Databricks
- Delta Lake
- Spark
- PySpark
Source — Tool mentions in context
- 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.
How you'll succeed - 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.
Who you are - You can demonstrate 5-8 years experience in. 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 put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
Posting record
Report an errorMay be filledThe employer has taken this listing down, so the role may be filled. Check their website before applying.
- Status in our records
- No longer listed
- First seen by us
- Sep 24, 2026 · 29 days ago
- Recorded sightings
- 15
- Last seen by us
- Oct 5, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
Check the employer’s posting for the current role and application details.
Already applied? Track this application
Job description
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 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.
At CIBC we enable the work environment most optimal for you to thrive in your role. 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.
How you'll succeed
- 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.
Who you are
- You can demonstrate 5-8 years experience in. 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 put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
- You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.
- You're passionate about people. You find meaning in relationships and surround yourself with a diverse network of partners. You connect with others through respect and authenticity.
- You love to learn. You're passionate about growing your knowledge. You have a strong sense of curiosity.
- You’re a certified professional. You have Computer Science, or a related field of study.
- Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
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, 16th FloorEmployment Type
RegularWeekly Hours
37.5Skills
Analytical Thinking, Application Development, Applications Programming, Emerging Technologies, IT Strategic Planning, Mentoring Staff, Project Management Technology, Work CollaborativelySource details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Toronto, ON
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. At CIBC we enable the work environment most optimal for you to thrive in your role. 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. 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).
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.