Databricks Engineer

Mississauga, ON
On-site
Posted Oct 17, 2026
1 position

$110,000–$115,000 / year

Opens LinkedIn

Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Lead the design, development, and optimization of enterprise-scale data platforms using Azure Databricks, including architecture and team mentorship. Build scalable data pipelines and ensure performance, governance, and operational excellence across Azure-based data solutions.

Job details

Position: Databricks Engineer Location: Mississauga, ON Work Type: Onsite Salary: CAD $110k- $115k/Annually Mandatory Skills: Azure Databricks PySpark Apache Spark Python SQL Azure Data Factory ADF Delta Lake Delta Live Tables DLT Unity Catalog Azure Data Lake Storage ADLS Gen2 Databricks Workflows CICD using Azure DevOps Git Data Engineering ETLELT Data Warehousing Good to Have Skills: Scala Azure Synapse Analytics Snowflake Airflow Databricks Asset Bundles Auto Loader Terraform Lakehouse Medallion Architecture Data Governance Security Gen AI RAG Vector Search LLM Integrations Role Summary Lead the design development and optimization of enterprise scale data platforms using Azure Databricks Drive architecture mentor teams implement scalable data pipelines and ensure performance governance and operational excellence across Azure based data solutions Explain how you have implemented Delta Lake Delta Live Tables DLT and Unity Catalog in a production Azure Databricks environment What business challenges were addressed Describe an enterprise scale PySpark based ETLELT solution you designed How did you optimize performance scalability and cost How have you implemented CICD pipelines for Databricks deployments using Azure DevOps and Git Describe the deployment strategy branching model and release process used. “We are an equal opportunity employer. It is our policy to provide employment, compensation, and other benefits related to employment without regard to race, color, religion, sex, gender, national or ethnic origin, disability, veteran status, age, genetic information, citizenship, or any other basis prohibited by applicable federal, state, or local law.”

What you’ll do

Requirements

The role requires expertise in Azure Databricks, PySpark, Apache Spark, Python, SQL, Azure Data Factory, Delta Lake, Delta Live Tables, Unity Catalog, and data engineering practices. Candidates should be able to design and optimize enterprise-scale ETL/ELT solutions and implement Databricks CI/CD deployments using Azure DevOps and Git.