Architecture Jobs in Canada
There are 1,087 open Architecture jobs in Canada on freehire right now. 407 of them were posted recently. The skills employers ask for most often are cloud, ai and azure.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| CAD | year | CA$135,000 | CA$145,000 | CA$163,000 | 97 |
| CAD | hour | CA$103 | CA$110 | CA$111 | 40 |
| USD | year | $152,500 | $156,800 | $175,000 | 13 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- cloud 58%
- ai 50%
- azure 36%
- api 32%
- aws 26%
- analytics 24%
- automation 23%
- sql 20%
How the work is done
- Hybrid 204 · 19%
- Remote 172 · 16%
- Onsite 21 · 2%
Visa sponsorship offered in 43% of the 117 postings that state a position on it.
Seniority
- Senior 333
- Lead 85
- Principal 70
- C-level 16
- Staff 10
- Intern 8
Who is hiring
- 1000+ employees 186
- 501-1000 employees 86
- 51-200 employees 20
- 11-50 employees 8
- 201-500 employees 2
Senior AWS Databricks Architect – Lakehouse & AI Platform
Lead enterprise-scale AWS Databricks platform implementations in Toronto, designing scalable Lakehouse, Data Lake, and Data Warehouse architectures and driving data modernization on AWS.
Databricks Architect
Lead the architecture and implementation of enterprise-scale AWS Databricks platforms, designing Lakehouse and data warehouse solutions, optimizing data pipelines, and driving AI/BI modernization with technologies like Databricks, AWS S3/Redshift/Lake Formation, Spark/PySpark, Delta Lake, and Unity Catalog.
Senior Data Architect: Cloud Data Lakes & AI Governance
The Senior Data Architect will lead the design, development, and governance of enterprise data and analytics solutions, focusing on cloud migration and data modeling. The role involves defining data standards and mentoring teams within a hybrid cloud environment.
Cloud architect
The Cloud Architect will design and evolve scalable, resilient cloud architectures primarily on AWS (70%) and Azure (30%). The role involves building automation, implementing Infrastructure as Code, and collaborating with cross-functional teams to modernize cloud environments.
Databricks Architect (with Informatica)-Databricks
Design and implement scalable Databricks Lakehouse platforms, architect batch and real-time data pipelines on Azure/AWS/GCP, and lead ETL modernization from Informatica to Databricks using Spark, PySpark, SQL, and Delta Lake.
Databricks Architect – Informatica, Spark & PySpark
Designs and implements scalable data platforms using Databricks, Spark, PySpark, and Delta Lake, leading ETL migrations from Informatica to cloud-based solutions.
Databricks Data Architect
Designs and builds scalable Databricks-based Lakehouse solutions, migrating legacy systems and optimizing Spark pipelines for analytics and AI/ML workloads.
Solutions Architect
Customer-facing Solutions Architect designing cloud infrastructure and MLOps solutions for AI/ML teams, combining hands-on IaC, GPU computing, Kubernetes, and Python work with technical advisory, workshops, and proofs of concept.
Principal Data Architect — Databricks Enablement
Principal Data Architect designs and leads enterprise-scale cloud data solutions using Databricks, Spark, ML/MLOps, and generative AI, while setting standards and mentoring teams.