17 Oct
|
Scotiabank
|
Toronto
17 Oct
Scotiabank
Toronto
Requisition ID: Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.The Senior Manager, Development – Data Engineering will provide strategic and hands‑on leadership within Scotiabank’s Data & AI Technology team. This role is accountable for leading and delivering enterprise‑scale data platforms solutions, with a strong emphasis on Azure and Databricks. You will be responsible for driving successful delivery of large, complex programs while ensuring engineering excellence, platform stability, and alignment to enterprise architecture and governance standards.Is this role right for you? In this role, you will:Leadership & DeliveryLead and manage the delivery of large, complex, enterprise‑level initiatives on Azure Databricks Data platform.Own end‑to‑end delivery outcomes including scope, timelines, quality, and risk managementPartner with Architecture, Platform, Security, and Business stakeholders to deliver scalable and resilient data solutionsDrive execution across multiple concurrent projects, balancing strategic priorities and delivery commitmentsTechnical & Platform LeadershipProvide technical leadership for Azure Databricks‑based data platforms, including Spark workloads and Delta Lake architecturesOversee the design and implementation of data ingestion, transformation, and analytics pipelines for current use cases to be onboarded on the platform.Ensure solutions align with data architecture standards, cloud best practices, and performance expectationsPromote reuse of common patterns, frameworks, and platform capabilities across the organizationEstablish and enforce engineering best practices, including code quality, CI/CD, testing, and documentationDrive continuous improvement across delivery velocity, platform reliability, and operational maturityRisk,
Governance & OperationsEnsure data solutions comply with security, privacy, and regulatory requirementsPartner with risk, audit, and compliance teams to support governance activitiesManage operational health, availability, and ongoing optimization of data platformsSkills10+ years of experience in data engineering, software development, or data platform roles5+ years of experience leading delivery teams in a manager or senior manager capacityStrong hands‑on and leadership experience with Azure Databricks (Spark, Delta Lake, performance tuning)Deep experience with Azure data technologies (e.G., ADLS, Azure Data Factory, Synapse, Event Hubs or equivalents)Strong understanding of data architecture, ETL/ELT patterns, data modeling, and data quality frameworksProven track record delivering large‑scale, multi‑team, enterprise programsSolid experience managing delivery in complex, regulated environmentsStrong communication and stakeholder management skills, with the ability to influence at senior levelsNice To HaveExperience in financial services or highly regulated industriesExposure to AI/ML platforms, advanced analytics, or real‑time data processingExperience with cloud migration, platform modernization, or legacy system decommissioningFamiliarity with Agile, Dev Ops, and Data Ops practicesWhat'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
📌 Senior Manager, Development (Toronto)
🏢 Scotiabank
📍 Toronto