Senior Data Architect

HRB; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading company in data solutions is looking for a Data Architect who will leverage their expertise in Snowflake and cloud environments to design scalable data architectures. This role involves a significant focus on addressing complex business challenges through data, while leading migration projects and optimizing cloud data platforms. The ideal candidate has a proven track record in data architecture and strong communication skills, enabling them to partner effectively with clients.

Qualifications

• 5+ years in data architecture or engineering with hands-on Snowflake experience.
• Experience with cloud environments (AWS, Azure or GCP).
• Strong skills in SQL and Python.

Responsibilities

• Design and implement end-to-end data solutions.
• Lead data migration and integration projects.
• Collaborate with analytics teams for AI/ML workloads.

Skills

SQL

Python

Data Modeling

Cloud Environments

Performance Tuning

Education

SnowPro certification or other Snowflake credentials

Certifications in AWS, Azure, or GCP architecture

Tools

Snowflake

AWS

Azure

GCP

Microstrategy

Tableau

Power BI

Job description

Role Summary

As a Data Architect, 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.

What You’ll Do

As a Data Architect with Snowflake expertise, you’ll bring structure to chaos and vision to architecture.

• 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 You Bring

• 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.