Senior Databricks Data Engineer

Overview

This is a remote position.

Title:

Senior Databricks Data Engineer (many roles to fill)

Location:

In Toronto, Montreal, or Ottawa

Job Type: Full-time or Contract

Experience Level: Senior

Rate and salary: up to $100 per hour (contract), or up to $160,000 per year (employee)

Role Overview:

We’re hiring a Senior Databricks Data Engineer to lead the development of high-performance, scalable data infrastructure using Databricks on Azure
. The ideal candidate is a seasoned data engineer with deep Spark/Databricks experience
, strong software engineering fundamentals, and a track record of delivering data solutions in cloud-native environments.
Certification is required (Associate; Professional preferred).

• Architect, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Apache Spark
  .
• Develop, test, and deploy data engineering codebases using best practices in version control (Git), CI/CD, and code modularity
  .
• Optimize pipeline performance for cost and compute efficiency
  , leveraging Databricks Workflows
  , Delta Lake
  , and Auto Loader
  .
• Work with Azure cloud services
  : ADLS Gen2, Azure Data Factory, Synapse Analytics, and Azure Dev Ops.
• Integrate data from APIs, event streaming sources (Kafka, Event Hubs), and traditional data warehouses.
• Apply data governance, cataloging, and access control using Unity Catalog
  , RBAC, and compliance best practices.
• Implement monitoring, alerting
  , and logging for data pipelines using tools like Datadog
  , Prometheus
  , or native cloud tools.
• Collaborate in an Agile/Scrum team setup and participate in planning, code reviews, retrospectives, and sprint demos.
• Experience with Git Hub for version control, code collaboration, and integrating CI/CD workflows.

• 5+ years in data engineering with hands-on Spark/Databricks experience
  .
• Databricks Certified Data Engineer Associate is required
  ;
  Professional is highly preferred
  .
• Strong experience in cloud environments
  : primarily Azure
  , and ideally AWS or GCP
  .
• Proficient in Python (PySpark),
  SQL
  , and data pipeline orchestration
  .
• Experience working with Delta Lake
  , Delta Live Tables
  , and streaming frameworks like Structured Streaming
  .
• Expertise in Git-based workflows
  , including pull requests, branching strategies, and collaboration using platforms like Git Hub, Git Lab, or Azure Repos
  .
• Hands-on experience with CI/CD tools such as Azure Dev Ops Pipelines, Git Hub Actions, Jenkins
  , or CircleCI
  .
• Familiar with IaC tools like Terraform or ARM templates
  .
• Deep understanding of data modeling (OLAP/OLTP, star/snowflake schema),
  data quality
  , and metadata management
  .
• Exposure to data quality frameworks like Great Expectations or Deequ
  .

• Experience with Unity Catalog
  , MLflow
  , or Feature Store in Databricks.
• Familiarity with containerized deployments (Docker, Kubernetes).
• Knowledge of data observability and lineage tracking tools like Monte Carlo
  , Open Lineage
  , or Collibra
  .
• Background in Dev Sec Ops and building secure data pipelines
  .
• Ability to mentor junior engineers and lead technical initiatives across teams.
• French ability if in Montreal is a huge asset.

• Strong problem-solving skills and analytical thinking.
• Comfortable working in a fast-paced Agile environment.
• Excellent verbal and written communication skills.
• Collaborative mindset with a focus on cross-functional impact
  .

• What We Offer:
• Competitive salary + performance-based bonuses
• Flexible work arrangements (remote/hybrid)
• Certification and learning support
• Work with cutting-edge data tech stack
• Opportunities for leadership and technical ownership