Toronto on site 4 days a week at Air Canada office

Max Rate is $120

Max INC: $100/hr

Length: Until July 2, 2027 with potential to extend

Role Overview: We are looking for an experienced Data Solution Architect to lead the design, build, and scaling of our up-to-date data platform and data products. In this role, you will bridge the gap between business strategy and technical execution.

You will design robust, secure, and high-performance data products leveraging Microsoft Azure, Databricks (Lakehouse/Unity Catalog), and Snowflake. You will collaborate with data engineers, data analysts, product managers, and executive stakeholders to drive our data-driven transformation.

Key Responsibilities:
Architecture and Design: Design end-to-end, scalable data architectures and reusable data products using Azure cloud services, Azure Databricks, and Snowflake Data Cloud.
Data Product Lifecycle: Own the technical roadmap for data products from conception, design, and proof-of-concept (PoC) to production deployment and consumption.
Ecosystem Integration: Integrate Databricks and Snowflake seamlessly within the Azure ecosystem.
Data Governance and Security: Implement enterprise-grade security, data privacy,



and governance frameworks (utilizing Databricks Unity Catalog and Snowflake governance features).
Performance and Cost Optimization: Monitor, troubleshoot, and optimize data pipelines, cluster sizing, and query performance across both Databricks and Snowflake to ensure cost-efficiency.
Collaboration and Leadership: Mentor engineering teams, define technical standards, conduct design reviews, and translate complex business requirements into explicit architectural blueprints.

Required Qualifications and Skills:
Experience: 15+ years in IT/Data with at least 5+ years focused on enterprise data architecture, cloud analytics, and distributed data systems.
Cloud Expertise (Azure): Deep knowledge of Microsoft Azure data services, storage accounts (ADLS Gen2), networking, and security/IAM models.
Databricks Proficiency: Solid hands-on experience with Azure Databricks, Apache Spark, Delta Lake, and Unity Catalog.
Snowflake Proficiency: Proven expertise in Snowflake data warehousing, multi-cluster warehouses, data sharing, Snowpipe, and performance tuning.
Core Languages and Tools: Fluency in Python, SQL, Snowflake DBT along with CI/CD pipeline management (Git, Azure DevOps/GitHub Actions).

📌 Data Solution Architect Toronto
🏢 Hays
📍 Toronto