Senior Data Architect — Snowflake & Cloud Data Solutions

HRB; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

HRB is seeking a Data Architect with Snowflake expertise to design and oversee end-to-end data solutions for clients in a cloud-first environment.

You will optimize performance and costs, lead migration and integration projects with Snowpipe, and collaborate with analytics teams on AI/ML workloads using Snowpark and Python.

This role requires shaping enterprise data strategy, governance frameworks, and presenting clear guidance to both technical and non-technical stakeholders.

Qualifications

• 5+ years in data architecture or engineering with hands-on Snowflake experience.
• Experience with schema design, performance tuning, and cost optimization.
• Knowledge of Snowflake Secure Data Sharing and end-to-end deployment.
• Deep knowledge of cloud environments (AWS, Azure, or GCP).
• Strong SQL and Python skills.
• Experience with data modeling, integration, and governance.
• Familiarity with BI tools like MicroStrategy, Tableau, or Power BI.
• Excellent communication and stakeholder management.

Responsibilities

• Design and implement end-to-end data solutions from strategy to deployment.
• Shape enterprise data strategy and governance for clients.
• Lead data migration and integration projects using Snowpipe, Streams, and Tasks.
• Collaborate with analytics teams to support AI/ML workloads with Snowpark and Python.
• Build and optimize cloud data platforms on AWS, Azure, or GCP.
• Advise clients through workshops and data-architecture best practices.
• Drive performance optimization and cost efficiency across deployments.

Skills

Snowflake

Data architecture

Cloud platforms

SQL

Python

Governance

Stakeholder management

Job description

HRB is seeking a Data Architect with Snowflake expertise to design and oversee end-to-end data solutions for clients in a cloud-first environment.

You will optimize performance and costs, lead migration and integration projects with Snowpipe, and collaborate with analytics teams on AI/ML workloads using Snowpark and Python.

This role requires shaping enterprise data strategy, governance frameworks, and presenting clear guidance to both technical and non-technical stakeholders.