Data Architect

Project X

$150K — $200K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data architecture or engineering with Snowflake expertise.
  • Ability to diagnose and resolve performance issues in Snowflake.
  • Deep understanding of cloud systems (AWS, Azure, or GCP).
  • Proficient in SQL and Python programming languages.
  • Experience in data modeling, integration, and governance.
  • Familiarity with BI tools like Microstrategy, Tableau, or Power BI.
  • Strong communication and stakeholder management skills.

Responsibilities

  • Design and implement comprehensive data solutions from inception to deployment.
  • Develop enterprise data strategies and governance frameworks for clients.
  • Lead data migration and integration projects utilizing Snowpipe and other tools.
  • Collaborate with analytics teams to enhance AI/ML capabilities with Snowpark and Python.
  • Build and optimize cloud data platforms on AWS, Azure, or GCP.
  • Serve as a trusted advisor, conducting workshops and sharing expertise on data architecture best practices.
  • Focus on performance optimization and cost-efficient data deployments.

Benefits

  • Hybrid working model providing flexibility.
  • Opportunities for skill development and continuous learning.
  • Exposure to innovative technologies and projects in data architecture.
  • Collaborative work environment with a focus on team engagement.
Full Job Description
Company: Project X Ltd.
Location: Toronto, Ontario
Employment Type: Full Time
Location: (Hybrid working model)
Total Compensation:$150,000-200,000
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.
How to Apply
Please apply with your resume and cover letter.

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