About this role
Job Description
Position Title
Data Analytics Solution Architect
Location: Toronto or Montreal
Duration: 6 months, Contract-to-Hire (CTH)
Job Type: Contract
Work Model: Hybrid, onsite twice per week
About the Opportunity
We are seeking a business-focused Data Analytics Solution Architect to lead the design of scalable, secure, and high-impact data, analytics, and AI solutions across the enterprise. This role will partner with business leaders, data engineers, BI teams, and data science partners to translate strategic objectives into well-governed, actionable solutions, with an emphasis on architecture, solution design, and enablement.
Key Responsibilities
-
Architect end-to-end data and analytics solutions aligned with business goals, enterprise standards, and governance requirements.
-
Translate business KPIs, decision needs, and reporting requirements into scalable data and analytics architectures.
-
Lead solution design, architecture reviews, and proofs of concept while partnering with engineering and delivery teams on implementation.
-
Define architecture for modern analytics experiences, including Power BI dashboards, semantic models, conversational analytics, and data pipelines.
-
Assess current capabilities and workflows and develop a roadmap that advances the organization beyond traditional dashboarding toward intuitive analytics and AI-enabled solutions.
-
Must-Have Qualifications
-
Strong business acumen with the ability to translate strategic goals and KPIs into effective data and analytics solutions.
-
Proven experience in a Data, Analytics, or Solutions Architect role with a focus on architecture and solution design.
-
Strong understanding of enterprise data architecture, including data modeling, analytics design, and performance considerations.
-
Experience designing solutions across cloud data platforms such as Azure, Snowflake, Databricks, Microsoft Fabric, or similar technologies.
-
Working knowledge of AI and analytics architectures, including data governance, privacy, security, and how AI solutions are designed, governed, and operationalized.
-
Nice-to-Have Qualifications
-
Experience with Power BI architecture, including semantic models, UX alignment, and reporting strategy.
-
Familiarity with Power Platform, Copilot Studio, conversational analytics, MLOps concepts, Airflow, MLflow, Docker, Kubernetes, or DevOps practices.
-
Experience within healthcare, pharmaceutical, or other highly regulated environments. Bilingual French/English fluency is also preferred.
-
Required Experience
-
7+ years of relevant experience.
-
Experience partnering with engineering, BI, and data science teams to deliver enterprise-scale solutions.
-
Experience designing solutions using modern cloud and data platforms, including Azure, Snowflake, Databricks, Microsoft Fabric, Power Platform, and/or Azure ML.
-
Experience communicating architecture decisions and recommendations to both technical and non-technical business stakeholders.
-
Experience working in Agile delivery environments and collaborating across distributed teams.
-
Education & Certifications
-
Degree, diploma, or equivalent relevant experience.
-
Relevant cloud, data, analytics, or architecture certifications are considered an asset.