Senior Data Engineer: Databricks + Azure Lead

BDO Canada; Vancouver; Hybrid; CAD 84,000 - 128,000; Full time

Job summary

BDO Canada is seeking an experienced Senior Data Engineer focused on Databricks to lead the design and delivery of scalable data pipelines. The role blends technical leadership with hands-on data engineering across Azure Databricks, Delta Lake, and Spark, while guiding client engagements and production deployments.

You will mentor team members, translate business needs into robust architectures, and collaborate with data scientists and engineers to drive analytics initiatives.

Qualifications

• Bachelor’s or master’s degree in Computer Science or related discipline.
• 5+ years hands-on data engineering experience, with 3+ years on Databricks, Spark and cloud data platforms.
• Strong knowledge of the Microsoft Azure ecosystem (Azure Data Lake, Azure Databricks, Azure Synapse, Azure DevOps).
• Proficient in Python and/or Scala; experience with data engineering libraries and frameworks.
• Excellent written and verbal communication; ability to engage with diverse stakeholders and influence decisions.

Responsibilities

• Design, build, and optimize robust data pipelines using Databricks, Delta Lake, and Spark.
• Lead client engagements and translate business requirements into scalable data architectures.
• Collaborate with cross-functional teams to productionize data solutions while ensuring governance and security.

Skills

Databricks

Apache Spark

Azure Cloud

Python/Scala

CI/CD

Data pipelines

Leadership

Communication

Education

Bachelor's or Master’s in CS/IS

Tools

Delta Lake

Azure DevOps

Terraform/ARM

GitHub Actions

Jenkins

Job description

BDO Canada is seeking an experienced Senior Data Engineer focused on Databricks to lead the design and delivery of scalable data pipelines. The role blends technical leadership with hands-on data engineering across Azure Databricks, Delta Lake, and Spark, while guiding client engagements and production deployments.

You will mentor team members, translate business needs into robust architectures, and collaborate with data scientists and engineers to drive analytics initiatives.