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Cloud Solution Architect - Data & AI

Microsoft· Cloud Solution Architecture
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Toronto, OntarioCA$96k - CA$177.6kFull-timePosted 3w ago

About the role

Cloud Solution Architect focused on Cloud & AI Data to help enterprise customers build unified, governed, secure, and AI-ready data estates on Microsoft Azure. Leads engagements across data platform modernization, analytics, governance, and AI-ready data foundations using Microsoft Fabric, Azure Databricks, and related Azure data capabilities.

Responsibilities

  • Engage customer business and technology leaders to understand their data estates, AI priorities, governance needs, success measures, and business outcomes; translate these requirements into secure, scalable, and AI-ready Cloud & AI Data solutions.
  • Lead architecture design and create Data and AI platform roadmaps spanning analytics, data engineering, databases, governance, and AI-enabled scenarios. Guide customers in making architectural choices across Microsoft Fabric, Azure Databricks, Azure databases, and related Azure services.
  • Drive technical engagements from architecture and proof of concept through pilot, production deployment, and scaled adoption. Help customers establish reusable patterns rather than treating each implementation as an isolated solution.
  • Lead data platform modernization and migration across relational, non-relational, analytical, and data-engineering workloads, including Microsoft Fabric, Azure Databricks, Azure SQL, Azure Database for PostgreSQL, Azure Database for MySQL, and Cosmos DB.
  • Help customers establish effective data governance practices, including data ownership, security, quality, discoverability, metadata management, compliance, and lifecycle management, aligned to their organizational and regulatory requirements.
  • Improve the health and sustainability of mission-critical data workloads by addressing resiliency, security, sovereignty, performance, capacity management, operational readiness, and cost optimization.
  • Partner with CSAMs, account teams, specialists, engineering teams, and delivery resources to remove technical blockers, align customer success plans with feasible delivery outcomes, contribute reusable IP, and share customer and field feedback with product teams.

Qualifications

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field
  • AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
  • OR equivalent experience.

Skills

Required:Cloud and Data Platform ArchitectureData GovernanceMicrosoft FabricAzure DatabricksAzure SQL / Azure databasesSecurity and Compliance
Nice to have:Cosmos DBEnterprise Architecture
Last updated Oct 2, 2026. Interested? Apply on the company site.

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