Data Architect
- Vancouver, BC, Canada
$80 to $90 CAD / hour · Contract
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Job details
- Pay
- $80 to $90 CAD / hour
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
6 Months contract- possibility of extension
Hybrid- 3-4 days onsite in Vancouver
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.
More about this job
Responsibilities
Lead the strategic evolution of the Snowflake platform and design scalable, governed data architectures, including Medallion frameworks and semantic data layers. Guide enterprise data initiatives, integrations, and cross-functional adoption while preparing the data ecosystem for analytics, AI, and modernization.
Requirements
Requires at least 3 years of hands-on Snowflake experience and 5 or more years in data engineering, with strong SQL, DevOps, CI/CD, and governance expertise. Candidates should have advanced Power BI architecture skills, experience with monitoring tools such as Datadog, and a track record in large enterprise environments; retail and Databricks experience are preferred.
Skills
- Snowflake
- Data Architecture
- Data Engineering
- SQL
- Data Modeling
- Power BI
- Semantic Modeling
- DAX Optimization
- CI/CD
- Deployment Automation
- Data Platform Governance
- Performance Optimization
- Monitoring And Observability
- Datadog
- Medallion Architecture
- Databricks
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Management & Leadership
- Consulting
Keywords
- Snowflake
- Data Architecture
- Data Engineering
- SQL
- Data Modeling
- Power BI
- Semantic Data Layers
- DAX
- CI/CD
- Deployment Automation
- Data Platform Governance
- Performance Optimization
- Monitoring
- Observability
- Datadog
- Medallion Architecture
- Bronze-Silver-Gold Framework
- Enterprise Data
- Analytics
- Self-Service Insights
- AI
- Data Modernization
- Data Integrations
- Retail Data Ecosystems
- Databricks