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 ...
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 ...
Data Integration Engineer
Toronto, ON · Remote
Data Integration Engineer (Azure & Databricks) Location: Canada (Hybrid/Remote) Experience: 5-8 Years Position Overview We are seeking a hands-on Data Integration Engineer to join our growing data ...
Data Integration Engineer
Toronto, ON · Remote
Data Integration Engineer (Azure & Databricks) Location: Canada (Hybrid/Remote) Experience: 5-8 Years Position Overview We are seeking a hands-on Data Integration Engineer to join our growing data ...
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 ...
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 ...
Senior Data Specialist
Mississauga, ON · Remote
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 ...
Senior Data Specialist
Mississauga, ON · Remote
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 ...
Senior Platform Engineer - Permanent - Toronto (Hybrid)
Toronto, ON · Hybrid
CA$140K/yr
Proven experience deploying, administering, and managing Azure Databricks in an enterprise environment * Strong understanding of Azure Databricks workspace architecture, deployment, and ...
Quick apply
Senior Platform Engineer - Permanent - Toronto (Hybrid)
Toronto, ON · Hybrid
CA$140K/yr
Proven experience deploying, administering, and managing Azure Databricks in an enterprise environment * Strong understanding of Azure Databricks workspace architecture, deployment, and ...
Senior Data Specialist
Mississauga, ON · Remote
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 ...
Senior Data Specialist
Mississauga, ON · Remote
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 ...
As part of this transformation, Databricks is becoming the central platform for all non-SAP data, enabling advanced analytics, reporting, and emerging AI use cases. The Data Platform Engineer ...
Quick apply
As part of this transformation, Databricks is becoming the central platform for all non-SAP data, enabling advanced analytics, reporting, and emerging AI use cases. The Data Platform Engineer ...
Support the design, deployment, and maintenance of Azure and Databricks platform components. Work with Azure networking/security configurations (VNets, NSGs, route tables, private endpoints, RBAC ...
Support the design, deployment, and maintenance of Azure and Databricks platform components. Work with Azure networking/security configurations (VNets, NSGs, route tables, private endpoints, RBAC ...
Senior Data Specialist
Mississauga, ON · Remote
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 ...
Senior Data Specialist
Mississauga, ON · Remote
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 ...
Build Databricks Apps and AI-enabled analytics products. Design and develop modern self-service analytics experiences and applications. Own analytics products from concept through adoption, including ...
Build Databricks Apps and AI-enabled analytics products. Design and develop modern self-service analytics experiences and applications. Own analytics products from concept through adoption, including ...
Senior Lead Data & AI Engineer
Toronto, ON · On-site
Leverage Databricks, lakehouse architecture, declarative pipelines, and cloud-native services to enable scalable, governed, and reusable data products across the organization. * Architect and deploy ...
Senior Lead Data & AI Engineer
Toronto, ON · On-site
Leverage Databricks, lakehouse architecture, declarative pipelines, and cloud-native services to enable scalable, governed, and reusable data products across the organization. * Architect and deploy ...
Build Databricks Apps and AI-enabled analytics products. * Design and develop modern self-service analytics experiences and applications. * Own analytics products from concept through adoption ...
Build Databricks Apps and AI-enabled analytics products. * Design and develop modern self-service analytics experiences and applications. * Own analytics products from concept through adoption ...
Data Science Developer - Senio
Toronto, ON · On-site
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 ...
Quick apply
Data Science Developer - Senio
Toronto, ON · On-site
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 ...
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 ...
Architect end-to-end security data solutions on AWS, utilizing Databricks and Snowflake to integrate, normalize, and standardize disparate security telemetry and SIEM logs. * Translate functional and ...
Quick apply
Architect end-to-end security data solutions on AWS, utilizing Databricks and Snowflake to integrate, normalize, and standardize disparate security telemetry and SIEM logs. * Translate functional and ...
Own Snowflake and Databricks platform operations, governance and lifecycle, including workspace and account design * Define cost management and collaborate with FinOps on forecasting and optimization ...
Quick apply
Own Snowflake and Databricks platform operations, governance and lifecycle, including workspace and account design * Define cost management and collaborate with FinOps on forecasting and optimization ...
Expert Solution Architect
Concord, ON · On-site
Contribute to the hands-on design of our end-to-end Databricks Lakehouse platform, from data ingestion and processing to consumption and governance. * Architect and design AI solutions built on ...
Expert Solution Architect
Concord, ON · On-site
Contribute to the hands-on design of our end-to-end Databricks Lakehouse platform, from data ingestion and processing to consumption and governance. * Architect and design AI solutions built on ...
Contribute to the hands-on design of our end-to-end Databricks Lakehouse platform, from data ingestion and processing to consumption and governance. * Architect and design AI solutions built on ...
Contribute to the hands-on design of our end-to-end Databricks Lakehouse platform, from data ingestion and processing to consumption and governance. * Architect and design AI solutions built on ...
Data Engineer
Toronto, ON · On-site
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 ...
Data Engineer
Toronto, ON · On-site
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 ...
Engineer II -ApplicationEngineer & .NET Full-Stack Developer
Toronto, ON · On-site
CA$96K - CA$136K/yr
NET API services , Azure Databricks, ADF, Airflow, and Azure-based data platforms EMPLOYEE / TEAM * Continuously enhance knowledge/expertise in own area and keep current with emerging industry trends ...
New
Engineer II -ApplicationEngineer & .NET Full-Stack Developer
Toronto, ON · On-site
CA$96K - CA$136K/yr
NET API services , Azure Databricks, ADF, Airflow, and Azure-based data platforms EMPLOYEE / TEAM * Continuously enhance knowledge/expertise in own area and keep current with emerging industry trends ...
New
Databricks information
See Ontario salary details
$85.5K - $93K
3% of jobs
$93K - $100.5K
4% of jobs
$100.5K - $108K
3% of jobs
$108K - $115.5K
2% of jobs
$115.5K - $123K
7% of jobs
$125.6K is the 25th percentile. Wages below this are outliers.
$123K - $130.5K
14% of jobs
The median wage is $138K / yr.
$130.5K - $138K
16% of jobs
$138K - $145.5K
13% of jobs
$152.7K is the 75th percentile. Wages above this are outliers.
$145.5K - $153K
13% of jobs
$153K - $160.5K
16% of jobs
$160.5K - $168K
9% of jobs
$85.5K
$136.5K
$168K
How much do databricks jobs pay per year?
Are Databricks in high demand?
What are jobs in Databricks?
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?
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:

Job description
Requisition ID: 255228Â
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.
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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.
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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
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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. Â
- Upskilling through online courses, cross-functional development opportunities, and tuition assistance.Â
- 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): Â Canada : Ontario : TorontoÂ
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. Â
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.
About Scotiabank
Sourced by ZipRecruiter
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US