Senior Cloud Engineer at Bank of Montreal

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

04 Apr, 26

Salary

141900.0

Posted On

04 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL, ELT, Data Warehousing, SQL, NoSQL, Python, Spark, Scala, SSIS, Glue, Cloud Storage, Hadoop, Netezza, Data Analysis, Data Mapping, Data Profiling, AI Concepts

Industry

Financial Services

Description

Application Deadline: 02/27/2026 Address: 250 Yonge Street Job Family Group: Technology We are seeking an enthusiastic and passionate professional for a Senior Cloud Engineer – Data & AI. You will support the business and technology cloud initiatives, with focus on the Bank's 3 to 5 year cloud technology roadmap, facilitating innovation and adoption of next-generation technologies. We collaborate with Enterprise Architecture, and business technology stakeholders, connecting subject matter experts with business, information, domain and solution architects. 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 Provide direction on technical designs and ensure alignment with standards and roadmaps Identify, track, and perform regression testing on defects found Lead process improvement opportunities, to improve our delivery and deployment capabilities Accelerate development by building frameworks, automation scripts, and reusable code Strengthen development capability via mentoring, knowledge sharing, and building communities of practice What do you need to succeed Must have 5 - 7 years of relevant experience and IT education and/or certification(s) Hands on experience with ETL/ELT development/testing and data warehousing concepts Hands on experience with SQL, NoSQL, Python, Spark, Scala Experience with SSIS, Glue, cloud storage and computing services (e.g. AWS, Azure), Hadoop, Netezza Experience with structured, semi structured and unstructured datasets in batch and streaming Experience with data analysis, data mapping and data profiling Experience with AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools in SDLC etc Experience in Agile delivery, including usage of JIRA Nice to have Experience in large enterprise setting Experience interacting with senior leaders Experience working in highly regulated industries Salary: $75,900.00 - $141,900.00 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. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at https://jobs.bmo.com/ca/en. BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes. BMO is a leading bank driven by a single purpose: to Boldly Grow the Good in business and life. Everywhere we do business, we’re focused on building, investing and transforming how we work to drive performance and continue growing the good. Who we are We’re proud to be fueling growth and expanding possibilities for individuals, families and businesses. More than 12 million customers count on us for personal and commercial banking, wealth management and investment services. As the 8th largest bank in North America by assets, we provide personal and commercial banking, wealth management and investment services to more than 12 million customers. In Canada, the United States and across the globe, we’ll continue to build, invest and transform to drive performance that serves the good that grows.

Responsibilities

Lead the planning, design, development, testing, implementation, documentation, and support of data and AI products. Partner with business stakeholders to translate business requirements into data and AI products.