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Senior Databricks Data Engineer Jobs in Toronto, ON

Senior Data Engineer

Toronto, ON · Hybrid

CA$125K - CA$140K/yr

Build and optimize batch and near-real-time data pipelines in Azure using Azure Data Factory, Azure Databricks (PySpark), Azure Data Lake, and Azure SQL * Engineer curated, analytics-ready data ...

Lead Data Engineer

Toronto, ON · Hybrid

CA$106K - CA$148K/yr

As a Lead Data Engineer reporting to the Senior Director of Data Engineering, you'll play a ... Data engineering certification (e.g., Databricks Certified Data Engineering Associate or ...

Data Engineer III

Toronto, ON · On-site

CA$96K - CA$136K/yr

We are hiring a Senior FinOps Data & Automation Engineer to build the data, automation, and ... Experience with data platforms such as Databricks, Snowflake, BigQuery, Azure Synapse, Microsoft ...

Integrate enterprise data catalog with Databricks and other data platforms * Design and develop data quality, data profiling and data classification solutions * You will advocate for good engineering ...

... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

Integrate enterprise data catalog with Databricks and other data platforms * Design and develop data quality, data profiling and data classification solutions * You will advocate for good engineering ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Databricks, Snowflake, Azure Data Factory * Confluent Kafka / Azure Event Hub * PySpark and ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Databricks, Snowflake, Azure Data Factory * Confluent Kafka / Azure Event Hub * PySpark and ...

Databricks, Unity Catalog, Auto Loader * Experience with data engineering, programming, ETL and ELT processes for data extraction and processing * Experience working with structured, semi-structured ...

Company Description Are you a Data Engineer with experience building cloud-based data solutions and ... Design, deploy and maintain a centralized Azure ADLS  Gen2/Databricks/Synapse (or Snowflake) data ...

25-167 Data Engineer

Oshawa, ON · Hybrid

$75 - $95/hr

We are looking for strong hands on Data Engineering skillset focused heavily on Azure Data Factory and Databricks (use of PySpark and SparkSQL). Build and productionize modular and scalable data ELT ...

Senior Data Engineer

Mississauga, ON · On-site

CA$130K - CA$140K/yr

As a Senior Data Engineer , you will ensure scalable and efficient data systems by addressing ... Databricks to enhance the data ecosystem. * Analyze and resolve intricate data challenges ...

Lead, Data Engineer

Mississauga, ON · Remote

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Databricks, Snowflake, Azure Data Factory * Confluent Kafka / Azure Event Hub * PySpark and ...

Showing results 41-60

Senior Databricks Data Engineer information

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Toronto, ON?

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

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

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

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

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

Infographic showing various Senior Databricks Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Data Engineer

Bridgenext

Toronto, ON • Hybrid

CA$125K - CA$140K/yr

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.

Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed. 


This is a blended Data Engineering and Data Modeling role responsible for designing enterprise data structures and engineering Azure-based data products that are reliable, scalable, and analytics-ready.  The role owns the full lifecycle of data products from translating business concepts into well-defined data models, to engineering pipelines that deliver curated, reusable, and trusted data products for analytics, reporting, and downstream integration.

The ideal candidate is equally strong in data design, pipeline engineering, and product thinking, with a focus on delivering high-quality data as a product to consumers across the organization.


Responsibilities / Individual Accountabilities:

  • Partner with business stakeholders and analytics teams to define data products that align to business domains, use cases, and outcomes
  • Translate business requirements into well-defined data entities, relationships, and metrics, and engineer data products that implement those models end to end
  • Design and maintain conceptual, logical, and physical data models that underpin scalable and reusable data products
  • Build and optimize batch and near–real-time data pipelines in Azure using Azure Data Factory, Azure Databricks (PySpark), Azure Data Lake, and Azure SQL
  • Engineer curated, analytics-ready data products optimized for BI, reporting, APIs, and OLAP consumption (e.g., Power BI)
  • Create, manage, and evolve data models using ERwin or PowerDesigner, ensuring consistency and alignment across data products
  • Define and maintain data product metadata, including data definitions, lineage, ownership, and quality expectations
  • Perform reverse engineering and model reconciliation to align existing datasets and pipelines with logical models and product intent
  • Apply CI/CD and DevOps practices to data pipelines, schemas, and data products using Azure DevOps, GitHub, or Jenkins
  • Collaborate closely with engineers, architects, analysts, and product teams to ensure data products are discoverable, trusted, and well understood
  • Identify opportunities to standardize, reuse, and evolve data products across domains and initiatives
  • Mentor team members and contribute to enterprise standards for data modeling, engineering, and data product delivery

Workplace: Hybrid ( 2 days in office) role in downtown Toronto.  Open to those interest in FT employment as well as Contractors (initial 6 mos contract with strong potential for extension)

Must Have Skills:

  • Bachelor’s degree in Computer Science, Information Systems, or a related field
  • 8+ years of experience spanning data engineering and data modeling
  • Strong hands-on experience with Databricks on Microsoft Azure or AWS
  • Proven expertise with Erwin and/or PowerDesigner
  • Solid understanding of data warehousing, dimensional modeling, and analytics design patterns
  • Experience delivering data using data product–oriented approaches (curated layers, semantic models, governed datasets)
  • Experience implementing CI/CD and DevOps for data platforms
  • Strong communication skills with the ability to clearly articulate data product design and usage to technical and non-technical audiences

Professional Skills:

  • Strong team and individual player
  • Maintains composure during all types of situations and is collaborative by nature
  • High standards of professionalism, consistently producing high quality results
  • Self-sufficient, independent requiring very little supervision or intervention
  • Demonstrate flexibility and openness to bring creative solutions to address issues

Bridgenext is an Equal Opportunity Employer

Canadian citizens and those authorized to work in Canada are encouraged to apply

Compensation varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Bridgenext provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as described above. The current salary range for this position is $125,000 - $140,000 CAD annually. Our comprehensive total rewards program goes way beyond a competitive salary. 

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