Solution Architect

Toronto, ON, Canada

Full Time

Experienced

Solutions Architect

Company: Project X Ltd.
Location: Toronto, Ontario
Employment Type: Full Time
Location: (Hybrid working model)
Total Compensation:$150,000-200,000

About Project X Ltd.

Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of their work, step up when needed, and get things done.

Our team members are trusted advisors who collaborate closely, think creatively, and deliver practical, high-quality solutions for our clients. We look for individuals who are curious, accountable, eager to learn, and supportive of their teammates—because at Project X, our people are what make us great.

Role Summary

As a Solutions Architect at Project X Ltd., you will be providing our clients with your knowledge and experience in making sense of messy, unstructured data. The Data Architect will be responsible for designing, implementing, and overseeing end-to-end solutions that address designing scalable and efficient data solutions, complex business challenges, and unlocking the value of data for our clients. This role will require demonstrated expertise in Snowflake to optimize data architecture, performance, and cost efficiency in a cloud-based environment.

Key Responsibilities

Design and implement end-to-end data solutions, from strategy to deployment.
Shape enterprise data strategy, architecture, and governance frameworks for our clients.
Lead data migration and integration projects, using tools like Snowpipe, Streams, and Tasks.
Collaborate with analytics teams to support AI/ML and advanced analytics workloads using Snowpark and Python.
Build and optimize cloud data platforms on AWS, Azure, or GCP.
Act as a trusted advisor to clients, facilitating workshops and bringing thought leadership on modern data architecture best practices.
Drive performance optimization and cost efficiency across deployments.

What We’re Looking For – Required Qualifications

5+ years in data architecture or engineering, with hands-on Snowflake experience, including schema design, performance tuning, Snowflake Secure Data Sharing, cost optimization strategies, and end-to-end deployment.
Proven ability to troubleshoot and resolve performance issues in Snowflake, manage virtual warehouses, implement clustering keys, and apply best practices for scaling and resource management.
Deep knowledge of cloud environments (AWS, Azure, or GCP).
Strong skills in SQL, Python.
Experience with data modeling, integration, and governance frameworks.
Familiarity with BI tools like Microstrategy, Tableau, or Power BI.
Excellent communication, presentation, and stakeholder management skills, with the ability to effectively communicate technical concepts to non-technical audiences.

Nice to Have

SnowPro certification or other Snowflake credentials.
Certifications in AWS, Azure, or GCP architecture.
Passion for mentoring and helping clients make smart, data-driven decisions.
Knowledge of emerging trends and technologies in data architecture, such as data mesh, event-driven architectures, and streaming analytics.

Use of Artificial Intelligence in Recruitment

Project X may use automated or AI-enabled tools as part of the recruitment and selection process. These tools may support activities such as resume screening, candidate matching, or application management. All hiring decisions involve human review and judgment.

Employment Equity, Accessibility & Accommodations

Project X is committed to fostering an inclusive, accessible workplace. Accommodations are available upon request in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code.

Privacy Notice

Personal information collected during the recruitment process will be used solely for recruitment purposes and handled in accordance with applicable privacy legislation.

How to Apply

Please apply with your resume and cover letter.

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Have you designed and implemented end-to-end data architecture solutions using Snowflake in a cloud environment (AWS, Azure, or GCP)?*

Have you used Snowflake features such as Snowpipe, Streams, Tasks, or Snowpark to support data integration, automation, or advanced analytics workloads?*

Have you personally managed Snowflake performance optimization, including tasks like tuning virtual warehouses, implementing clustering keys, or applying cost optimization strategies?*

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Are you comfortable working in a Hybrid working model? This role may require you to be onsite at one of the client offices for 2-3 days/week.*

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Do you have 2+ years of HANDS ON experience using Snowflake?*

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