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Consultant, Data Architect

Job in Toronto, Ontario, C6A, Canada
Listing for: Project X Ltd.
Full Time position
Listed on 2026-07-29
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing
Salary/Wage Range or Industry Benchmark: 150000 - 200000 CAD Yearly CAD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Solutions Architect

About Project X Ltd.

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.

  • 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.
Solutions Architect

Company:
Project X Ltd.

Location:

Toronto, Ontario

Employment Type:

Full Time

Location:

(Hybrid working model)

Total Compensation: $,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
  • Snow Pro certification or other Snowflake credentials.
  • Certifications in AWS, Azure, or GCP architecture.
  • Pas…
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