Databricks Developer

Location: Toronto, ON

Onsite Flexibility: Hybrid

Contract Details

- Position Type: Contract
- Contract Duration: 6 months
- Pay Rate: C$75.00–C$95.00 / Hour (CAD)

Job Summary

Our client is seeking an experienced Senior Azure Databricks Data Engineer to design, build and support scalable enterprise data pipelines and up-to-date lakehouse solutions. The successful candidate will bring deep hands-on experience with Azure Databricks, PySpark, Spark SQL, Delta Lake and Azure Data Factory, with a strong understanding of medallion architecture, data governance, performance optimization and production deployment. This is a senior-level engineering role requiring the ability to work across architecture, analytics, platform and delivery teams to build reliable, scalable and well-governed data solutions.

Key Responsibilities

- Design, build and support scalable data pipelines using Azure Databricks.
- Develop and maintain ETL/ELT solutions using PySpark, Spark SQL and Delta Lake.
- Implement and support medallion / lakehouse architecture across raw, curated and business-ready data layers.
- Use Azure Data Factory (ADF) to orchestrate Databricks workloads, manage dependencies and schedule pipeline execution.
- Design and optimize Delta tables and Spark workloads for performance, scalability and cost efficiency.
- Implement data quality, validation, audit, logging, monitoring and operational controls.
- Build and maintain production-ready Databricks jobs, notebooks, repositories and deployment processes.
- Support source control, CI/CD pipelines and release management for enterprise data platforms.
- Integrate Databricks with Azure services including ADLS Gen2,



Azure Key Vault and ADF.
- Troubleshoot production issues and support ongoing platform stability and performance.
- Collaborate with architecture, analytics, platform and business teams to deliver scalable data solutions.
- Apply strong governance, access-control and security practices across the Databricks environment.

Required Skills

- Strong hands-on expertise with Azure Databricks.
- Advanced experience with:
- Auto Loader - Unity Catalog - Databricks SQL - Change Data Feed - Liquid Clustering - Databricks CLI - Infrastructure as Code
- Strong understanding of Databricks governance and access control, including:
- Role-based access control - Attribute-based access control - Object permissions - Row-level security - Column masking
- Strong hands-on experience with PySpark and Spark SQL.
- Experience with Delta Lake, Delta tables and medallion architecture.
- Experience working with Databricks Jobs, clusters, notebooks, repositories and production deployment patterns.
- Strong experience integrating Databricks with ADLS Gen2, Azure Key Vault and Azure Data Factory.
- Experience using ADF for orchestration, scheduling, parameterization and monitoring.
- Strong understanding of Spark performance tuning, partitioning, optimization and cost management.
- Experience with CI/CD,



source control and enterprise data platform support.
- Strong troubleshooting and production-support capabilities.
- Must be able to communicate and engage with technical and non-technical teams.

Preferred Skills

- Structured Streaming
- Delta Live Tables
- Databricks Asset Bundles
- MLflow
- Genie / Agent-based Databricks capabilities
- Advanced data governance and lineage
- Advanced Databricks cost optimization
- Experience supporting large-scale enterprise lakehouse environments
- Financial Services and/or Investments domain experience

Required Experience

- 10 years of experience in data engineering, data platforms or related technical roles.

About the Client

This client is a leading financial services and banking institution operating within the Canadian market, with a presence among the top-tier banks serving clients and businesses nationwide. The organization employs a broad range of professionals — including data engineers, DevOps engineers, business analysts, and enterprise programs analysts — who collaborate across technology, finance, and operations teams to deliver enterprise-scale solutions. With a strong emphasis on regulatory compliance, data governance, and process standardization, this institution consistently draws on contractors and specialists to support complex, high-impact initiatives across its technology and banking platforms.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support F

📌 Senior Databricks Developer (Toronto)
🏢 Kardow
📍 Toronto