ZipRecruiter

Log In

1

Databricks Jobs in Toronto, ON (NOW HIRING)

Databricks

Director, Field Engineering

Toronto, ON

To embody and promote Databricks' customer-obsessed, teamwork and diverse culture * Support increased return on investment of Solutions Architect involvement in sales cycles * Create trust-based ...

United Airlines

Data Engineer (Databricks)

Mississauga, ON

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design, build, and optimise scalable data pipelines and ETL/ELT workflows using Databricks (Unity Catalog, Delta Live Tables, Workflows, Asset Bundles), Apache Spark, and Scala to process large ...

Scotiabank

Senior Platform Engineering

Toronto, ON

  • PTO

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 ...

McKesson

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 ...

previous pagenext page

Showing results 21-40

All JobsDatabricks JobsDatabricks Jobs in Toronto, ON

Databricks information

See Toronto, ON salary details

$81.6K

$130.2K

$160.3K

How much do databricks jobs pay per year?

As of Aug 15, 2026, the average yearly pay for databricks in Toronto, ON is $130,225.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,769.00 and $146,491.00 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 Toronto, ON?

The most popular types of Databricks jobs in Toronto, ON are:

What are popular job titles related to Databricks jobs in Toronto, ON?

For Databricks jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Databricks jobs in Toronto, ON look for?

The top searched job categories for Databricks jobs in Toronto, ON are:

Databricks jobs near you
Infographic showing various Databricks job openings in Toronto, ON as of August 2026, with employment types broken down into 82% Full Time, 11% Part Time, and 7% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $130,225 per year, or $62.6 per hour.

Team Lead, Data Engineering - Databricks

The Citco Group Limited

Toronto, ON • On-site

CA$135K - CA$175K/yr

Full-time

Re-posted 5 days ago

Job description

About Citco: 

Since the 1940s, Citco has provided specialist financial services to alternative investment funds, investors, multinationals, and private clients worldwide. Our data engineering initiatives represent one of our most critical technical focus areas, driving innovation across our global operations. 

About the Role: 

As a Team Lead, you willlead a technical teamof data engineers, ensuring best practices in performance, security, and scalability while working on Citco's enterprisewide Centralized Data Platform (CDP) built on Databricks.    

This role requires adeep, hands-on understanding of Databricksinternals and a track record ofdelivering large-scale data platformsin a cloud environment. 

You'll be part of a team driving technical excellence and innovation within Citco's data engineering practice. 

Required Qualifications: 

  • 8+ years of experience in data engineering 
  • 3+ years of hands-on experience with Databricks platform 
  • Proven experience leading a team  
  • Strong expertise in Python and Spark programming 
  • Demonstrable experience in using AI in development 
  • Proven experience with AWS or other similar cloud services 
  • Deep understanding of data modeling and SQL 
  • Experience with Delta Lake and Lakehouse architecture 
  • Strong knowledge of ETL/ELT principles and patterns 
  • Experience with version control systems (Git) 
  • Demonstrated ability to optimize data pipelines 
  • Strong problem-solving and analytical skills 
  • Excellent communication and collaboration abilities 

Nice to Have: 

  • Financial services industry experience 
  • Experience with multiple cloud providers 
  • Knowledge of AI/ML implementation patterns 
  • API development experience 
  • Experience with real-time data processing 
  • Data governance framework experience 

What Sets You Apart: 

  • Active interest in emerging technologies and industry trends 
  • Experience implementing complex data solutions 
  • Track record of continuous learning and skill development 
  • Strong technical documentation abilities 
  • Experience using AI tools to enhance productivity 
  • Ability to mentor junior team members 

Technical Environment: 

  • Primary Platform: Databricks 
  • Cloud Platform: AWS (S3, Glue, Lambda) 
  • Languages: Python, SQL 
  • Tools: Delta Lake, Unity Catalog, Git 
  • Additional: Real-time processing, API integrations 

Salary Range: CAD $135,000 - CAD $175,000

  • This position is not for an existing vacancy; we are building a candidate pool for future opportunities.

Our Benefits: 

Your well-being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location.  

We embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect.  

itco welcomes and encourages applications from people with disabilities. Accommodation is available upon request for candidates taking part in all aspects of the selection.

#CITCTM

Your Role:

  • You will lead and mentor a team of data engineers, conducting code reviews, design reviews, and knowledge-sharing sessions across multiple locations 
  • Drive the Agile/Scrum SDLC process and collaborate with team members 
  • Design and develop Databricks solutions leveraging Lakehouse architecture for enterprise data processing and analytics 
  • Develop and optimize ETL/ELT pipelines  
  • Create and manage structured streaming pipelines for real-time data processing 
  • Configure and optimize Databricks clusters and Spark jobs for optimal performance 
  • Utilize Delta Live Tables for data ingestion and transformations 
  • Apply Unity Catalog features and IAM best practices for security governance and access control 
  • Support infrastructure and resource management using Terraform 
  • Implement monitoring solutions for pipeline performance and data quality 
  • Contribute to code reviews and knowledge-sharing sessions 

Apply