Senior Manager, Full Stack Engineering

Scotiabank • Toronto, ON

1d • Onsite

About The Position

Contributes to the overall success of the Wealth Data Governance and Platform function by ensuring individual goals, plans, and initiatives are executed and delivered in support of the Bank’s wealth management data strategy. Responsible for designing and delivering end-to-end metadata-driven data governance solutions within a modern Databricks and Azure-based ecosystem, with a focus on building out Unity Catalog capabilities, business metadata layers, and operational observability frameworks. This role supports the enablement of trusted, well-governed, and discoverable data across wealth management by integrating business, technical, and operational metadata, and delivering scalable solutions for data lineage, data quality, and observability. 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 experience in full stack engineering, data platform engineering, or data governance engineering roles
• Strong hands-on experience with Databricks, including Unity Catalog, Delta Lake, and metadata management capabilities
• Experience building and integrating solutions on Azure cloud platforms (ADLS, ADF, Azure services)
• Proficiency in backend development (Python, APIs, microservices) and frontend development (JavaScript frameworks or similar) for building data tools and interfaces
• Strong experience working with metadata systems, including business metadata (glossaries, ownership), technical metadata (schemas, lineage), and operational metadata (logs, metrics, observability signals)
• Experience implementing or supporting data governance frameworks, including data lineage, data quality, and access management
• Familiarity with data observability concepts, including monitoring data pipelines, tracking data freshness, anomaly detection, and alerting
• Strong SQL and data modeling fundamentals
• Experience integrating with or leveraging tools such as Microsoft Purview or similar data catalog/governance platforms
• Experience supporting production environments, including monitoring, troubleshooting, and incident management

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 is considered an asset

Responsibilities

• Champions a client-focused culture to deepen advisor and client relationships by enabling trusted, well-governed, and discoverable data assets across wealth platforms
• Designs and builds full stack solutions to support enterprise data governance capabilities, including metadata management, lineage, data quality, and observability frameworks
• Leads the implementation and enhancement of Databricks Unity Catalog, including onboarding data assets, defining governance structures, and enabling secure, role-based data access
• Develops and maintains business metadata layers, including data definitions, glossaries, ownership models, and domain-specific classifications aligned to wealth management (clients, accounts, portfolios, products)
• Builds and integrates technical metadata pipelines, capturing lineage, schema evolution, and transformation logic across the data lifecycle
• Designs and implements operational metadata and observability frameworks, including pipeline monitoring, data freshness tracking, data quality metrics, and alerting mechanisms
• Enables end-to-end data lineage (source to consumption) across Azure and Databricks environments to support transparency, auditability, and regulatory requirements
• Develops APIs, services, and user interfaces to enable data discovery, metadata access, and governance workflows for business and technical users
• Works closely with data engineering, analytics, and business teams to ensure metadata solutions are embedded into day-to-day workflows and tooling
• Identifies opportunities to automate metadata capture, governance enforcement, and observability processes, improving efficiency and reducing manual overhead
• Supports structured analysis and issue resolution, including root-cause analysis of data quality and pipeline issues using metadata and observability insights
• Proactively recommends and implements improvements to governance frameworks, tooling, and platform capabilities
• Understands how the Bank’s risk appetite and regulatory environment apply to metadata and data governance, including data privacy, access controls, and auditability

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.

What This Job Offers

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