Please be advised that our Careers site will be unavailable from November 28 at 12am ET to November 29 12am ET for scheduled system maintenance.

Title:  Senior Manager, Wealth Engineer

 

 

 

Requisition ID: 263142 

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

 

Contributes to the overall success of Scotiabank’s Global Wealth Management function by ensuring individual goals, plans, and initiatives are executed and delivered in support of the Bank’s wealth management strategies and objectives.

Responsible for supporting the end-to-end data development and enablement lifecycle within a cloud-based Azure and Databricks lakehouse environment, including sourcing and transforming data, building scalable and reliable data pipelines, and delivering high-quality data products that enable client, portfolio, and investment insights.

Supports the underlying data platforms and infrastructure to ensure trusted, governed, and timely data is available for advisory, portfolio management, operations, and regulatory reporting use cases. Ensures all activities are conducted in compliance with governing regulations, internal policies, and established standards and procedures.

 

Is this role right for you? In this role you will:

 

  • Champions a client-focused culture to deepen advisor and client relationships and leverage broader Bank relationships, systems, and data assets
  • Designs, builds, and maintains scalable data architectures and pipelines using Databricks (Delta Lake, PySpark) and Azure (ADLS, ADF) to support wealth data integration, transformation, validation, and analytics enablement
  • Develops and maintains curated data layers aligned to lakehouse architecture (bronze, silver, gold) to support downstream reporting, analytics, and data products
  • Enables data-driven decision making by delivering timely, well-structured, and trusted data for portfolio management, client reporting, performance measurement, and regulatory reporting
  • Works in an Agile environment, adapting quickly to evolving business and technical requirements, tight timelines, and competing priorities
  • Identifies opportunities to automate manual and repetitive data processes, driving continuous improvement in efficiency, reliability, and scalability
  • Applies iterative development practices across all phases of data solution delivery, including data ingestion, transformation, modeling, cleansing, enrichment, and aggregation
  • Ensures the availability, reliability, and integrity of data pipelines and data products through monitoring, alerting, and operational support processes
  • Builds strong partnerships with wealth stakeholders (advisors, portfolio managers, operations, risk and compliance teams) to translate business requirements into scalable data solutions
  • Supports structured analysis and issue resolution, including root-cause analysis, triage, and remediation of data quality or pipeline failures
  • Proactively recommends and implements improvements to engineering practices, tooling, and data platform capabilities
  • Understands how the Bank’s risk appetite and regulatory environment apply to wealth data, including client data privacy, auditability, and regulatory reporting requirements

 

Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

 

  • University degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • 5+ years of hands-on experience in data engineering, analytics engineering, or data platform roles
  • Strong experience designing, developing, and maintaining data solutions using Databricks (PySpark, Delta Lake) and Azure cloud services (ADLS, ADF)
  • Proven experience building and optimizing end-to-end data pipelines (batch and/or streaming) in cloud environments
  • Strong proficiency in Python and SQL
  • Solid understanding of data modeling (dimensional and relational), data quality frameworks, and performance optimization
  • Experience working with Power BI, including supporting semantic models, datasets, and reporting layers
  • Experience integrating data from multiple enterprise systems, including wealth platforms, CRM systems, and market data sources
  • Familiarity with data governance, lineage, and cataloging tools (e.g., Collibra, Unity, etc.)
  • Experience supporting production data environments, including monitoring, incident management, and data reliability practices
  • Exposure to wealth management, private banking, or asset management data domains is considered an asset
  • Experience with CI/CD pipelines and DevOps practices for data engineering is considered an asset

 

 

What's in it for you?

 

  • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
  • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.  
  • Upskilling through online courses, cross-functional development opportunities, and tuition assistance. 
  • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
  • Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.
  • Community Engagement - We offer opportunities for community engagement & belonging with our various programs such as hackathons.

 

Location(s):  Canada : Ontario : Toronto 

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.


Job Segment: Compliance, Engineering Manager, Investment Banking, Computer Science, Data Modeler, Legal, Engineering, Data, Technology, Finance