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Azure Data Solution Engineer

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Microsoft Corporation

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Location:
Canada , Toronto

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

96000.00 - 177600.00 CAD / Year
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Job Description:

Are you curious, passionate about infrastructure, and ready to solve complex challenges in the AI era? Join us as a Cloud & AI Data Solution Engineer - We are looking for an Azure Data Solution Engineer who is a deep subject‑matter expert in designing and delivering modern, governed data platforms using Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, BI), Azure Databricks, and Azure SQL and OSS databases, and who can partner with customers to modernize analytics and data estates, enabling technical decision‑makers to confidently approve and adopt AI‑ready Azure data solutions.

Job Responsibility:

  • Help customers design secure, scalable, and resilient cloud data architecture that supports their modernization goals
  • Guide organizations through data platform modernization—designing and optimizing governed, AI‑ready analytics solutions and translating technical capabilities into measurable business outcomes
  • Collaborate across teams to deliver impactful solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure
  • Lead technical migration and modernization discussions, applying structured approaches (e.g., 6R strategy) to guide customer decisions
  • Influence technical decision makers (architects, platform leads, engineering managers) by translating complex architecture into clear, defensible solutions
  • Design, validate, and explain architectures
  • Collaborate with customers, partners, engineering teams, and account stakeholders to deliver outcomes
  • Drive technical sales by using technical demos, proof of concepts, technical architecture accelerator to influence solution design and enable deployments
  • Lead architecture sessions and technical workshops to accelerate Cloud & AI adoption
  • Build trusted relationships with platform leads to co-design secure, scalable solutions
  • Resolve technical blockers by collaborating with engineering and sharing customer insights
  • Represent Microsoft in customer forums and technical communities through thought leadership
  • Modernize data platforms and analytics workloads on Azure, including Lakehouse and modern data warehouse architectures, legacy EDW/Hadoop modernization, and migration to Fabric‑centric solutions
  • Build and operate data engineering pipelines across Fabric and Databricks to support analytics, real‑time intelligence, and AI/ML workloads

Requirements:

  • Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND 4+ years technical pre-sales or technical consulting experience OR equivalent experience
  • Proficiency in designing and delivering modern, governed data platforms using Microsoft Fabric (OneLake, Lakehouse, DW, BI), Azure Databricks, Azure SQL and OSS databases, data engineering pipelines, and Purview
  • Advanced understanding of Cloud & AI services, including security, compliance, and hybrid cloud scenarios
  • Ability to engage technical and business stakeholders to design and deploy scalable, secure cloud solutions
  • 4+ years’ experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
  • Familiarity with enterprise platforms such as SAP, Oracle, and ISVs like NetApp, VMware, and RedHat
  • Knowledge of regulatory frameworks such as GDPR, HIPAA, and Public Sector compliance standards

Nice to have:

  • Advanced understanding of Cloud & AI services, including security, compliance, and hybrid cloud scenarios
  • Familiarity with enterprise platforms such as SAP, Oracle, and ISVs like NetApp, VMware, and RedHat
  • Knowledge of regulatory frameworks such as GDPR, HIPAA, and Public Sector compliance standards

Additional Information:

Job Posted:
March 19, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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