Senior Manager, Wealth Engineer

Scotiabank • Toronto, ON

1d • Onsite

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• 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.
• Free tea & coffee, universal washrooms, and lots of space for team collaboration.
• Opportunities for community engagement & belonging with our various programs such as hackathons.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree