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Senior Data Solution Architect

Tekfortune

Job Location:

Toronto - Canada

Monthly Salary: Not provided by the employer

Posted: 3 October 2026 (12 hours ago)

Application Deadline: 31 December 2026

Vacancies: 1 Vacancy

Job Summary

Tekfortune is a fast-growing consulting firm specialized in permanent contract & project-based staffing services for worlds leading organizations in a broad range of this quickly changing economic landscape virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps our staffing experts can help you find the best job for you.

Job Title: Senior Data Solution Architect

Remote (Local to GTA) travel required to client office in Toronto ON or Montreal QC
1 year contract

Role Overview: We are looking for an experienced Data Solution Architect to lead the design build and scaling of our modern data platform and data 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 clear 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: Strong 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).