The Senior Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization – one of Scotiabank’s 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 building, tuning, managing infrastructure, DevOps, platform site reliability, monitoring, troubleshooting, enhancing, and enabling new features on Data & AI platform(s) as per the Bank’s Data & AI strategy. This includes working with cross‑functional teams such as IAM, Network, Cloud Ops, Security, and Client partners for integration, process automation, platform enhancement, and delivery of recent projects. 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).

Quality Assurance: Ensure a high quality of support delivery for platform users; Process Improvements: 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 cross‑functional 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. Establish proactive alerting and early issue detection via logs/metrics for Databricks and Azure services.

Site Reliability: Drive error‑budget aware practices,



post‑incident reviews, and resilience engineering (e.g., autoscaling, retry/backoff strategies, policy guardrails). Lead incident response, communications to users and stakeholders, and root‑cause analysis with clear action items and follow‑through. 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; Release Control Management: Maintain and enhance the Infrastructure & Platform release pipeline using Terraform, Terraform Cloud, Azure DevOps and/or GitHub Actions, with source control in GitHub/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 DevOps/GitHub Actions, and Artifact/Container registries.

Automated

Terraform plan/apply, Databricks Bundle releases, policy validation, and security scanning to streamline delivery and ensure compliance. integrate with Databricks secret scopes and workload identities. Enforce least‑privilege access via Azure RBAC and rotate credentials per policy.

Vendor and Technical Support Interaction: Partner with Microsoft and Databricks support and product teams to fine‑tune and troubleshoot components, plan upgrades, and adopt new capabilities aligned to roadmap and enterprise controls. Mentor junior engineers in best practices for building, deploying, testing, and supporting services on Azure and Databricks. 15+ years of IT experience in big organizations operating in various geographies and regulations.



5+ years of hands‑on 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 with CI/CD (Azure DevOps, GitHub Actions), including automated testing, security scanning, and policy gates. 5+ years with development/scripting languages (Python, Go optional; 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 zero‑trust principles.

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

Experience with configuration management and automation (Ansible, Bash/PowerShell) and governance via cluster policies and IaC standards. Bachelor’s degree in computer science, engineering, mathematics, management or a related field. 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.

Upskilling through online courses, cross‑functional development opportunities, and tuition assistance.

Competitive

Rewards program including bonus, flexible vacation, personal, and sick days and benefits will start on day one.

Dynamic

Ecosystem – Free tea & coffee, universal washrooms, and plenty of space for team collaboration.

Community

Engagement – Regardless of where you choose to work from, we offer opportunities for community engagement & belonging with our various programs. 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. #

📌 Platform Engineer (Remote) (Toronto)
🏢 Scotiabank
📍 Toronto