Data Architect

Insight Global; Vancouver; On-site; CAD 110,000 - 160,000; Full time

Job summary

Insight Global is seeking an experienced Data Architect to lead the evolution of client Snowflake platforms, overseeing enterprise data programs and scalable, governed solutions. You will design Snowflake-based medallion architectures and semantic layers to enable trusted, self-service insights while laying foundations for AI and data modernization across functions.

The role requires deep data modeling, SQL proficiency, and expertise in data governance, Datadog monitoring, and enterprise-scale

Qualifications

• 3+ years of hands-on Snowflake experience including platform administration and data modeling.
• 5+ years in Data Engineering with strong SQL, CI/CD, and data governance.
• Advanced Power BI architecture experience for enterprise reporting; focus on data models.
• Experience with monitoring/observability tools, preferably Datadog.
• Proven success in large-scale enterprise environments and cross-functional collaboration.

Responsibilities

• Lead the strategic evolution of Snowflake-based data architectures.
• Design scalable data models and semantic layers for trusted, self-service insights.
• Oversee multiple enterprise data initiatives and governance.
• Collaborate with global teams and expand integrations across business domains.
• Prepare data ecosystem for AI and data modernization initiatives.

Skills

Data modeling

Cloud data architecture

Stakeholder collaboration

Tools

Snowflake

Datadog

Power BI

Databricks

CI/CD tools

SQL

Job description

6 Months contract- possibility of extension

JOB DESCRIPTION

Insight Global is seeking an experienced Data Architect to lead the strategic evolution of our clients Snowflake platform, overseeing multiple enterprise data initiatives and ensuring scalable, governed data solutions. This role will be responsible for designing and advancing modern data architectures, including Snowflake-based Medallion (Bronze, Silver, Gold) frameworks, to support analytics, reporting, and business growth. The ideal candidate will establish and optimize semantic data layers that enable trusted, self-service insights while creating the foundational architecture required for the organization's broader AI and data modernization journey. Working closely with cross-functional stakeholders, you will guide the expansion of existing integrations and prepare the data ecosystem for adoption across additional enterprise functions and business domains.

REQUIRED SKILLS AND EXPERIENCE

• 3+ years of hands-on Snowflake experience, including platform administration, data modeling, performance optimization, and architectural oversight.
• 5+ years of experience in Data Engineering, with strong expertise in SQL and modern DevOps principles, including CI/CD, deployment automation, and data platform governance.
• Advanced Power BI architecture experience, including semantic modeling, DAX optimization, and designing scalable enterprise reporting solutions. This role is focused on data architecture and foundational data models rather than dashboard development.
• Experience with monitoring and observability tools, preferably Datadog, to support platform health, performance monitoring, and operational excellence.
• Proven success working within large-scale enterprise environments, collaborating across global teams and multiple business functions.

NICE TO HAVE SKILLS AND EXPERIENCE

• Experience within the retail industry and an understanding of large-scale retail data ecosystems. Hands-on experience with Databricks,

Vacancy Status

This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position.

Please Note: We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.