33 Dundas Street West Toronto Ontario,M5G 3C2
This role drives the development and implementation of modern data engineering practices, policies, and cloud-native solutions to support Wealth Management’s DataOps platform on AWS. The specialist will manage the full data lifecycle, ensuring secure, efficient, and cost-effective collection, transformation, storage, and access of data across hybrid and cloud-native environments.
As a senior member of the Wealth Data Engineering team, the role integrates data from legacy investment platforms and new cloud-based systems to build a unified, governed data tier. It applies DataOps and DevOps principles using AWS-native services to enable real-time insights, automation, and reliable delivery of curated datasets for analytics, ML, and regulatory use cases.

TECHNICAL QUALIFICATIONS:

• Min of 7+ years of experience in data engineering or cloud-based data platform roles with a minimum 5 years of AWS data solutions experience
• 7+ years of experience with each of the following skills/areas:
• AWS Services: S3, Glue, Redshift, Lake Formation, Lambda, Step Functions, CloudFormation, CodePipeline, IAM, DMS, Athena, CloudWatch, DataBrew, Data Catalog.
• SQL and NoSQL database design (Redshift, Aurora PostgreSQL, DynamoDB).
• Metadata management, data lineage, and data observability tooling.
• Infrastructure-as-Code and DevOps tools: Terraform, CDK, Git, Jenkins, CodeBuild.
• Python, PySpark, SQL, and shell scripting for data engineering.
• Familiarity with ML workflows on Amazon SageMaker is a plus.

Methodologies (Intermediate to Advanced): 5-7+ yrs of experience in each of the following areas:

• Agile methodology and Scrum-based delivery in cross-functional teams.
• DataOPs, MLOPs and DevOps principles applied to data engineering.
• Knowledge of financial services data models and regulatory compliance in wealth management (e.g., KYC, suitability, client reporting).

CORE SKILLS:

• Excellent problem-solving, communication, and stakeholder engagement abilities.
• Ability to manage complexity, ambiguity, and shifting priorities across domains.
• Strong time management
• Proven ability to work with teams across the organization (both horizontally and vertically)

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

Main Responsibilities :

• Design and implement secure, scalable, and cost-efficient data pipelines using AWS Glue, Step Functions, Apache Airflow and Lambda to support batch and streaming ingestion from cloud native, third party (e.g. Snowflake) , and on-premises; relational and/or non-relational data sources
• Build and maintain a centralized data lake using AWS foundational components such as S3, Lake Formation, and Apache Iceberg to enable federated access and fine-grained security across Wealth business domains.
• Integrate data from on-premises and cloud systems using AWS DMS, Glue connectors, and Redshift federated queries.
• Design CI/CD pipelines for infrastructure-as-code and data deployments using AWS CloudFormation, CDK, CodePipeline, and/or Terraform.
• Monitor data health, quality, and lineage using AWS Glue Data Catalog, CloudWatch, and integrate with third-party observability tools like Monte Carlo or OpenMetadata.
• Collaborate with data scientists, analysts, and product owners to ensure curated datasets are discoverable, trustworthy, and reusable across analytics and machine learning use cases.
• Define and implement data quality rules, metadata capture, and schema versioning for curated assets using AWS Glue DataBrew and Data Catalog.
• Build AWS-native services and solutions to support governance, access control, encryption, and auditing to meet financial industry compliance standards.
• Translate Wealth business requirements into data models using Redshift, Aurora (PostgreSQL), and DynamoDB for varied analytical and operational workloads.
• Champion DataOps principles by building reusable components, self-service capabilities, and automated testing, version control, and deployment processes for data assets.
• Creates and maintains an optimal data pipeline architecture, in AWS Cloud and hybrid infrastructure.
• Contribute to container orchestration (ECS, Fargate) and data lake security (Lake Formation).
• Builds analytics tools that utilize the data pipeline to provide actionable insights into customer, operational efficiency and other key business performance metrics, using AWS Redshift and Power BI.
• Works with experts in data strategy and data governance to suggest quality enhancements.
• Creates and maintains various applications using different types of programming languages.
• Designs, configures and implements the cloud-native software that solves actual business problems using cloud technology.
• Creates instructions for cloud computing operations and documentation.
• Establishes a development environment and continuous integration pipeline. Utilizes modern application patterns and code efficiency.
• Translates user needs into technical specifications by understanding, conceptualizing, and facilitating technical requirements from users.
• Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
• Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
• Implements changes in response to shifting trends.
• Broader work or accountabilities may be assigned as needed.