Databricks Architect
The role involves designing and implementing end-to-end Databricks solutions and developing data transformation pipelines. The architect will lead data modernization efforts using Lakehouse architectures and advanced analytics within the insurance domain.
- Hybrid
- Toronto, ON
- Posted Aug 19, 2026
- Apply by Sep 18, 2026
- 1 position
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Job summary
Role: Senior Databricks Architect Client: Insurance Domain Location: North York, ON, Canada Work Model: Hybrid – 3 days per week in the office Candidates must be available to work from the office from Day 1 Rate: CAD / Hourly basis (available on T4 or Contract or C2C) We need candididates who have strong hands-on Databricks + AWS experience and are comfortable working onsite 3 days per week from Day Key Technical Experience: We are looking for a Senior Databricks Architect with strong hands-on experience in: Databricks Data Engineering with at least one end-to-end Databricks implementation Data Transformation and Pipeline Development AWS Cloud Platform and AWS data services Amazon S3, Redshift, Lake Formation, etc. Apache Spark / PySpark Enterprise Data Engineering Data Lakes, Data Warehouses and Lakehouse architectures Problem-solving and end-to-end solution delivery Preferred Experience: 12+ years of experience in Data & Analytics 5+ years of Databricks Architecture experience Experience with Databricks Unity Catalog, Delta Lake, Mosaic AI, Genie and Agent Bricks Experience in AI/GenAI, Lakehouse, Data Modernization and Advanced Analytics Strong consulting and stakeholder management experience AWS Solutions Architect certification is preferred APPLY NOW!
What you’ll do
The role involves designing and implementing end-to-end Databricks solutions and developing data transformation pipelines. The architect will lead data modernization efforts using Lakehouse architectures and advanced analytics within the insurance domain.
Requirements
Requires over 12 years of experience in Data & Analytics with at least 5 years specifically in Databricks Architecture. Strong hands-on expertise in AWS cloud services and PySpark is essential, and an AWS Solutions Architect certification is preferred.
Listed skills
- Amazon Web ServicesPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Databricks
- AWS
- Apache Spark
- PySpark
- Data Engineering
- Lakehouse Architecture
- Unity Catalog
- Delta Lake
- Mosaic AI
- GenAI
- Amazon S3
- Amazon Redshift
- Lake Formation
- Data Modernization
- Stakeholder Management
Job areas
- Data & Analytics
- Technology
- Consulting
- Software
- Engineering
Additional details
- Minimum experience
- 12+ years
- Apply by
- Sep 18, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 3 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available