1

Databricks Jobs in Ontario (NOW HIRING)

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 ...

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

MUST HAVES Must Haves: * 5+ years experience Azure environment * 5+ years experience Data engineering with ADF and Databricks * 5+ years experience Programming experience with Python, SQL Location: 3 ...

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

Design, implement, and optimize big data pipelines in Databricks. * Develop scalable ETL workflows to process large datasets. * Leverage Apache Spark for distributed data processing and real-time ...

This role will focus on modern data engineering practices, including Azure, Databricks, Unity Catalog, ETL/ELT pipeline development, dbt-based transformation, CI/CD automation, and data platform ...

Showing results 41-60

Databricks information

See Ontario salary details

$85.5K

$136.5K

$168K

How much do databricks jobs pay per year?

As of Aug 16, 2026, the average yearly pay for databricks in Ontario is $136,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,500.00 and $153,500.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Ontario?

The most popular types of Databricks jobs in Ontario are:

What job categories do people searching Databricks jobs in Ontario look for?

The top searched job categories for Databricks jobs in Ontario are:

What cities in Ontario are hiring for Databricks jobs?

Cities in Ontario with the most Databricks job openings:

Infographic showing various Databricks job openings in Ontario as of August 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $136,456 per year, or $65.6 per hour.

Senior Platform Engineering

Scotiabank

Toronto, ON

Full-time

PTO

Re-posted 22 days ago


Job description

Requisition ID: 255228 
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 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 the building, tuning, managing infrastructure, DevOps, 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 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.
  • Credential Security: Set up Azure Key Vault and HashiCorp 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 new 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 DevOps, GitHub Actions), including automated testing, security scanning, and policy gates.
  • 5+ years with development/scripting languages (Python, Go optional; plus Bash/PowerShell) 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 GitOps (branching, environments, code review, release promotion).
  • Experience with config management and automation (Ansible, Bash/PowerShell) and governance via cluster policies and IaC standards.
  • Bachelor's 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.

#AIDataPlatforms

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.