Principal Engineer, Data, AI and Platform Development & Support
Top Benefits
About the role
Description
Application Deadline:
08/30/2025
Address:
4100 Gordon Baker Road
Job Family Group:
Technology
Please note this is an Individual Contributor role and subject to Hybrid Work Model (2 days/ week in the office at 33 Dundas St. W or 4100 Gordon Baker Rd)
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights to drive desired business outcomes and value. DAT Engineering collaborates with multiple groups across the bank to deliver hundreds of initiatives every year, to help our partners solve problems and make smarter data-driven decisions.
We are a very diverse organization with plenty of exciting opportunities to apply your unique skills to solve complex business problems. If you love data, complex challenges, cutting-edge technologies, and opportunities to learn, then this is the team you want to be in.
What will you do:
-
Lead in the planning, design, development, testing, implementation, documentation, and support of data and AI products
-
Partner with business stakeholders in translating business requirements (functional and non-functional) into data and AI products
-
Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
-
Provide direction on technical designs and ensure alignment with standards and roadmaps
-
Provide technical direction and guidance to junior and intermediate developers
-
Identify, track, and perform regression testing on defects found
-
Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
-
Accelerate development by building frameworks, automation scripts, and reusable code
-
Strengthen development capability via mentoring, knowledge sharing, and building communities of practice
-
Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
What do you need to succeed:
Must have :
-
15+ years of relevant experience and IT education and/or certification(s)
-
Hands on experience with extract, transform, load for various sources and downstream consumption, ability to write code and guide other team members in writing complex transformations
-
Hands on experience in solution architecture, data modelling, designing complex systems to support large scale transformations, hands with data mining & analysis for existing and new data warehouses on-prem and cloud
-
Hands on experience in one or more of SQL, NoSQL, Python, Spark, Scala, code optimization, debugging
-
Experience with AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools in SDLC, etc...
-
Hands on experience with SSIS, Glue, cloud storage and computing services (e.g. AWS, Azure), Hadoop, Netezza, Apache Airflow or similar tools
-
Experience with structured, semi structured and unstructured datasets in batch and streaming
-
Experience with data analysis, data mapping and data profiling
-
Hands on experience with DevOps methodologies, including CI/CD pipelines and infrastructure as code.
-
Experience in handling process improvements using automation, re-modelling, modernization, re-design or update design, solution for optimal and cost efficient needs
-
Experienced in guiding the team to code, develop, unit testing and QA new/existing pipelines, automated solutions and ability to structure new solutions with minimal requirements provided yet seek for clarifications as needed.
-
Experience with spear heading discussions with counterparts, stakeholders, business, architecture teams, operations and other engineering teams.
-
Experience in Agile delivery, including usage of JIRA
-
Experience in defining software engineering standards and best practices
-
Experience in large enterprise setting
-
Experience interacting with senior leaders
-
Experience working in highly regulated industries
Salary :
$94,600.00 - $176,000.00
Pay Type:
Salaried
The above represents BMO Financial Group’s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.
BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
About Desjardins
Desjardins Group is the largest cooperative financial group in North America and the fifth largest cooperative financial group in the world, with assets of $435.8 billion as at March 31, 2024. It was named one of Canada's Best Employers by Forbes magazine and by Mediacorp. To meet the diverse needs of its members and clients, Desjardins offers a full range of products and services to individuals and businesses through its extensive distribution network, online platforms and subsidiaries across Canada. Ranked among the world's strongest banks according to The Banker magazine, Desjardins has some of the highest capital ratios and credit ratings in the industry and the first according to Bloomberg News.
Principal Engineer, Data, AI and Platform Development & Support
Top Benefits
About the role
Description
Application Deadline:
08/30/2025
Address:
4100 Gordon Baker Road
Job Family Group:
Technology
Please note this is an Individual Contributor role and subject to Hybrid Work Model (2 days/ week in the office at 33 Dundas St. W or 4100 Gordon Baker Rd)
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights to drive desired business outcomes and value. DAT Engineering collaborates with multiple groups across the bank to deliver hundreds of initiatives every year, to help our partners solve problems and make smarter data-driven decisions.
We are a very diverse organization with plenty of exciting opportunities to apply your unique skills to solve complex business problems. If you love data, complex challenges, cutting-edge technologies, and opportunities to learn, then this is the team you want to be in.
What will you do:
-
Lead in the planning, design, development, testing, implementation, documentation, and support of data and AI products
-
Partner with business stakeholders in translating business requirements (functional and non-functional) into data and AI products
-
Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
-
Provide direction on technical designs and ensure alignment with standards and roadmaps
-
Provide technical direction and guidance to junior and intermediate developers
-
Identify, track, and perform regression testing on defects found
-
Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
-
Accelerate development by building frameworks, automation scripts, and reusable code
-
Strengthen development capability via mentoring, knowledge sharing, and building communities of practice
-
Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
What do you need to succeed:
Must have :
-
15+ years of relevant experience and IT education and/or certification(s)
-
Hands on experience with extract, transform, load for various sources and downstream consumption, ability to write code and guide other team members in writing complex transformations
-
Hands on experience in solution architecture, data modelling, designing complex systems to support large scale transformations, hands with data mining & analysis for existing and new data warehouses on-prem and cloud
-
Hands on experience in one or more of SQL, NoSQL, Python, Spark, Scala, code optimization, debugging
-
Experience with AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools in SDLC, etc...
-
Hands on experience with SSIS, Glue, cloud storage and computing services (e.g. AWS, Azure), Hadoop, Netezza, Apache Airflow or similar tools
-
Experience with structured, semi structured and unstructured datasets in batch and streaming
-
Experience with data analysis, data mapping and data profiling
-
Hands on experience with DevOps methodologies, including CI/CD pipelines and infrastructure as code.
-
Experience in handling process improvements using automation, re-modelling, modernization, re-design or update design, solution for optimal and cost efficient needs
-
Experienced in guiding the team to code, develop, unit testing and QA new/existing pipelines, automated solutions and ability to structure new solutions with minimal requirements provided yet seek for clarifications as needed.
-
Experience with spear heading discussions with counterparts, stakeholders, business, architecture teams, operations and other engineering teams.
-
Experience in Agile delivery, including usage of JIRA
-
Experience in defining software engineering standards and best practices
-
Experience in large enterprise setting
-
Experience interacting with senior leaders
-
Experience working in highly regulated industries
Salary :
$94,600.00 - $176,000.00
Pay Type:
Salaried
The above represents BMO Financial Group’s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.
BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
About Desjardins
Desjardins Group is the largest cooperative financial group in North America and the fifth largest cooperative financial group in the world, with assets of $435.8 billion as at March 31, 2024. It was named one of Canada's Best Employers by Forbes magazine and by Mediacorp. To meet the diverse needs of its members and clients, Desjardins offers a full range of products and services to individuals and businesses through its extensive distribution network, online platforms and subsidiaries across Canada. Ranked among the world's strongest banks according to The Banker magazine, Desjardins has some of the highest capital ratios and credit ratings in the industry and the first according to Bloomberg News.