Requisition ID: 255022 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Senior Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabanks most significant enterprise wide strategic initiatives.

This organization drives data enabled decision making, AI innovation, and technology modernization across the Bank.

The Senior Platform Engineer will be responsible for the building, tuning, managing infrastructure, Dev

Ops, Platform site reliability, monitoring, troubleshooting, enhancing, enabling new features on Data & AI platform(s) as per banks Data & AI strategy.

This consists of working with cross functional teams like IAM, Network, Cloud Ops, Security, Client partners etc for integration, process automation, platform enhancement and delivery of new projects.

Is this role right for you? In this role, you will: Guidance and Direction: Provide clear direction to the team, set goals, and keep the team accountable for their deliverables.

Align team goals with the overall direction of the Azure & Databricks Platform roadmap and enterprise standards.

Technical Oversight: Own the technical direction across Azure and Databricks: Azure networking and security architecture (VNets, Private Endpoints, NSGs, route tables, Azure Firewall), Azure Identity & Access Management (RBAC, PIM), and Databricks platform governance (Unity Catalog, workspace configuration, cluster policies).

Ensure best practices for reliability, cost, and security are consistently applied.

Quality Assurance: Ensure a high quality of support delivery for platform users; adhere to platform SLAs/SLOs and service objectives Process Improvements: Continually improve platform processes and SOPs for efficiency and automation.

Design and develop reusable Terraform modules for Azure native resources and Databricks (clusters, SQL warehouses, Unity Catalog objects), enabling consistent, scalable, and automated deployments via Terraform Cloud/Enterprise and CI/CD.

Customer Relations: Build strong relationships with data engineers, analysts, and platform users.

Communicate proactively with stakeholders and crossfunctional teams (Platform, Security, Cloud Ops, Networking, Data Governance) to align priorities, manage expectations, and drive adoption of platform standards.

Advanced Monitoring and Troubleshooting: Troubleshoot and resolve performance issues across Databricks jobs, clusters, SQL warehouses, and Azure dependencies.

Implement Azure Monitor and Log Analyticsbased observability with custom dashboards for cluster/job health, driver/executor metrics, and cost insights.

Establish proactive alerting and early issue detection via logs/metrics for Databricks and Azure services.

Site Reliability: Analyze, triage, and resolve platform issues promptly to achieve SLOs and platform reliability objectives.

Drive errorbudget aware practices, postincident reviews, and resilience engineering (e.g., autoscaling, retry/backoff strategies, policy guardrails).

Incident Management: Provide support during major incidents, including afterhours support.





Lead incident response, communications to users and stakeholders, and rootcause analysis with clear action items and followthrough.

Observability Tools Development: Design, build, and deploy logging/monitoring solutions for early detection and actionable insights.

Standardize ingestion to Log Analytics from Databricks (audit logs, cluster events, job runs) and key Azure resources; built dashboards and alert rules to reduce MTTR.

Release Control Management: Maintain and enhance the Infrastructure & Platform release pipeline using Terraform, Terraform Cloud, Azure Dev

Ops and/or Git

Hub Actions, with source control in Git

Hub/Bitbucket and artifact promotion via ACR/Artifacts.

Enforce approvals, change windows, and automated checks to ensure safe, repeatable releases.

Client Pipeline Management: Implement CI/CD for infrastructure and analytics workloads using Terraform, Docker, Azure Dev

Ops/Git

Hub Actions, and Artifact/Container registries.

Automated Terraform plan/apply, Databricks Bundle releases, policy validation, and security scanning to streamline delivery and ensure compliance.

Credential Security: Set up Azure Key Vault and Hashi

Corp Vault for secret management; integrate with Databricks secret scopes and workload identities.

Enforce leastprivilege access via Azure RBAC and rotate credentials per policy.

Vendor and Technical Support Interaction: Partner with Microsoft and Databricks support and product teams to finetune and troubleshoot components, plan upgrades, and adopt recent capabilities aligned to roadmap and enterprise controls.

Mentorship: Mentor junior engineers in best practices for building, deploying, testing, and supporting services on Azure and Databricks.

Promote a culture of automation, documentation, and continuous learning.

Do you have the skills that will enable you to succeed in this role? We''d love to work with you if you have: 15+ years of IT experience in big organizations operating in various geographies/regulations. 5+ years of handson experience with Microsoft Azure (networking, security, identity, storage, compute, PaaS). 5+ years with Databricks on Azure (workspaces, jobs/workflows, clusters/SQL warehouses, Unity Catalog governance). 5+ years using Infrastructure as Code (Terraform modules, Terraform Cloud/Enterprise; working knowledge of ARM/Bicep a plus). 5+ years with CI/CD (Azure Dev

Ops, Git

Hub Actions), including automated testing, security scanning, and policy gates. 5+ years with development/scripting languages (Python, Go optional; plus Bash/Power

Shell) for automation and platform tooling. 5+ years with container technologies (Docker, orchestration on AKS or containerized jobs on Databricks/Functions).

Strong understanding of Azure networking (VNets, subnets, Private Endpoints,



NSGs, UDRs, Azure Firewall), RBAC/PIM, and zerotrust principles.

Indepth knowledge of databases and data platforms: Azure SQL, Cosmos DB, Databricks Lakehouse (Delta Lake, SQL Warehouses), and data integration patterns (Event Hubs, ADLS Gen2).

Comprehensive understanding of SDLC and Git

Ops (branching, environments, code review, release promotion).

Experience with config management and automation (Ansible, Bash/Power

Shell) and governance via cluster policies and IaC standards.

Bachelors degree in computer science, Engineering, Mathematics, Management or related field 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 - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs. #AIData

Platforms 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.

📌 Senior Developer, Platform Engineering (Toronto)
🏢 Scotiabank
📍 Toronto