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Data Architect

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
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Original job description

Company: Project X Ltd.
Location: Toronto, Ontario
Employment Type: Full Time
Location: (Hybrid working model)
Total Compensation:$150,000 CAD Annually
 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 SummaryAs a Data 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 RecruitmentProject 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 & AccommodationsProject 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 NoticePersonal information collected during the recruitment process will be used solely for recruitment purposes and handled in accordance with applicable privacy legislation.How to ApplyPlease apply with your resume and cover letter.


More about this job

Responsibilities

Design, implement, and oversee end-to-end data solutions, enterprise data strategies, and governance frameworks for clients. Lead Snowflake-based migration and integration work, support analytics and AI/ML workloads, and optimize cloud platform performance and costs while advising clients on modern data architecture.

Requirements

Requires at least five years of data architecture or engineering experience, hands-on Snowflake expertise, strong SQL and Python skills, and deep knowledge of AWS, Azure, or GCP. Candidates should also have experience with data modeling, integration, and governance, familiarity with BI tools, and strong communication and stakeholder management skills.

Skills

  • Data Architecture
  • Snowflake
  • SQL
  • Python
  • Cloud Platforms
  • Data Modeling
  • Data Integration
  • Data Governance
  • Performance Tuning
  • Cost Optimization
  • Data Migration
  • Snowpipe
  • Snowflake Streams and Tasks
  • Snowpark
  • AI/ML
  • Stakeholder Management

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Consulting
  • Software

Keywords

  • Data Architecture
  • Snowflake
  • SQL
  • Python
  • AWS
  • Azure
  • GCP
  • Snowpipe
  • Snowflake Streams
  • Snowflake Tasks
  • Snowpark
  • Secure Data Sharing
  • Virtual Warehouses
  • Clustering Keys
  • Data Modeling
  • Data Integration
  • Data Governance
  • Data Migration
  • Performance Tuning
  • Cost Optimization
  • AI/ML
  • Advanced Analytics
  • MicroStrategy
  • Tableau
  • Power BI
  • SnowPro Certification
  • Data Mesh
  • Event-Driven Architectures
  • Streaming Analytics

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