Senior Platform Engineer

Job summary

Own the operations, stability, and scalability of enterprise data management platforms including Data Catalog and Data Quality solutions. Develop platform strategies and automate workflows using scripting to ensure secure and reliable access to trusted data.

Job details

Application Deadline: 09/19/2026 Address: 33 Dundas Street West Job Family Group: Technology HYBRID work model, 2 days/week in office at BMO Place. Data and AI Technology (DAT) Capabilities support the Bank’s Digital First strategy by enabling value realization driven by data analytics, business intelligence, data management, and robotics delivered through frictionless access to services, tools, and platforms for DAT business user consumption.​ Our team is responsible for the engineering, operations, and continuous evolution of Enterprise Data Management platforms, including Data Catalog, Data Quality, Data Lineage, Data Modeling, Metadata Management, and Analytics solutions - ensuring they are secure, scalable, reliable access to trusted data across the organization. Key Responsibilities: Own the operations, stability, security, scalability, and support of enterprise data platforms. Provide production support and ensure platform availability, performance, and reliability (Alation, Manta, PowerDesigner, Infirmatica). Monitor platform health, adoption metrics, and operational KPIs to drive continuous improvement. Support cloud modernization and data migration initiatives across cloud and on-premises environments. Develop and execute platform strategies, roadmaps, and enhancement plans in collaboration with Architecture, Engineering, Security, and Business stakeholders. Design and implement innovative solutions, tools, and processes to improve data management and protection. Automate processes/workflows on occasion which requires scripting and coding capability (Python Bash, Shell) Document functional and technical requirements, workflows, and solution designs. Analyze platform and usage data to identify optimization opportunities. Manage APIs and integration components with a focus on security, resilience, and operational efficiency. Troubleshoot complex technical issues, perform root cause analysis, and implement sustainable solutions. Work independently and provide technical leadership on strategic platform initiatives. Must have: Bachelor’s or Graduate degree in Engineering, Computer Science, Mathematics, or related quantitative discipline. 7+ years of experience supporting Data Management platforms, including Data Catalog, Data Quality, Data Modeling, and Data Lineage solutions (i.e. Manta, Informatica, Alation, PowerDesigner) Strong hands-on experience with SQL, Python, and Spark, Lambda, CDK Expertise in data modeling, database design, and ETL/ELT processes. Experience with SSIS, AWS Glue, cloud storage, and cloud computing services (AWS, Azure) Experience deploying and supporting enterprise data solutions in cloud environments (AWS, Azure) and Fabric Data Lake. Experience working within Agile delivery teams using Jira. Strong understanding of system design, platform engineering, and API management. Excellent analytical, troubleshooting, and problem-solving skills. Strong communication and stakeholder management skills. Demonstrated learning agility, innovation mindset, and ability to work in a fast-paced environment. Salary: $70,000.00 - $150,000.00 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. 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.

What you’ll do

Own the operations, stability, and scalability of enterprise data management platforms including Data Catalog and Data Quality solutions. Develop platform strategies and automate workflows using scripting to ensure secure and reliable access to trusted data.

Requirements

Requires a degree in Engineering, Computer Science, or a quantitative field with over 7 years of experience supporting data management platforms. Proficiency in SQL, Python, Spark, and cloud services like AWS or Azure is essential.

Benefits

• Health Insurance • Tuition Reimbursement • Accident Insurance • Life Insurance • Retirement Savings Plans

Listed skills

• Microsoft Azure · Preferred
• SQL · Preferred
• Agile · Preferred
• Amazon Web Services · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• Spark
• Lambda
• CDK
• Data Modeling
• ETL/ELT
• SSIS
• AWS Glue
• AWS
• Azure
• Fabric Data Lake
• API Management
• System Design
• Platform Engineering
• Agile
• Data Lakes
• Informatica
• Data Management Platforms
• Operational Efficiency
• AWS Cloud Development Kit (CDK)
• Technical Issues
• Alation Data Catalog
• Workflow Management
• Learning Agility
• Value Realization
• Technical Requirements
• Data Lineage
• Resilience
• Technical Leadership
• Application Programming Interface (API)
• Agile Methodology
• Artificial Intelligence
• Amazon Web Services
• Data Analysis
• JIRA
• Microsoft Azure
• Bash (Scripting Language)
• Business Intelligence
• Textiles
• Cloud Computing
• Communication
• Computer Science
• Continuous Improvement Process
• Extract Transform Load (ETL)
• Data Management
• Data Migration
• Data Quality
• Database Design
• Economic Growth

Job areas

• Data & Analytics
• Technology
• Software
• Engineering
• Platform Engineer
• Software and Applications Developers and Analysts Not Elsewhere Classified
• Validation Engineers
• Industrial Engineers