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Principle Azure Data Solution Engineer

Canada, Toronto Employment contract 128000.00 - 222400.00 CAD / Year · Job Posted May 31, 2026
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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. In this technical sales role, you’ll help customers design secure, scalable, and resilient cloud data architecture that supports their modernization goals. Using Azure’s modern data PaaS services, you’ll guide organizations through data platform modernization—designing and optimizing governed, AI‑ready analytics solutions and translating technical capabilities into measurable business outcomes. You’ll collaborate across teams to deliver impactful solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure. At Small Medium Enterprises and Channel (SME&C), we are leading a high-growth, AI-powered global sales team—one that is deeply connected to our partners and driven by customer success. By uniting our Small Medium Business, Corporate, Strategy, and Partner teams, we are unlocking the largest customer opportunity, backed by the industry’s most significant investments. Leveraging the power of AI and our extensive partner ecosystem, we are redefining how businesses of all sizes adopt technology to drive growth and innovation. SME&C is more than a sales organization—it’s a culture of innovation, opportunity, and inclusivity. Here, you’ll be part of a diverse, high-performing, and customer-obsessed team where collaboration, connection, and continuous learning fuel everything we do. If you thrive in a fast-paced, digital-first environment and are eager to make a meaningful impact, explore how SME&C can be the next step in your career. Together, we are shaping the future of business. As a Cloud & AI Data Solution Engineer, you’ll play a key role in helping mid-market customers modernize their infrastructure and unlock the full value of Microsoft’s cloud. You’ll work directly with technical and business stakeholders to design and implement secure, scalable, and resilient architectures that support AI workloads and business-critical applications.

Job Responsibility

  • Guide customers through data platform modernization decisions, balancing architecture, governance, cost, and performance considerations to enable AI‑ready and enterprise‑scale outcomes
  • Lead technical migration and modernization discussions, applying structured approaches (e.g., 6R strategy) to guide customer decisions
  • 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

Requirements

  • Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND 6+ 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
  • Solid technical foundation designing and modernizing Cloud & AI solutions on Azure
  • Ability to lead technical migration and modernization discussions
  • Experience influencing technical decision makers
  • Solid understanding of hybrid and cloud native architectures
  • Knowledge of Azure security and compliance principles
  • Hands on technical mindset
  • Proven collaboration skills
  • Commitment to continuous learning
  • Drive technical sales by using technical demos, proof of concepts, technical architecture accelerator
  • Lead architecture sessions and technical workshops
  • Build trusted relationships with platform leads
  • Resolve technical blockers by collaborating with engineering
  • Represent Microsoft in customer forums and technical communities through thought leadership
  • 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
  • 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

What we offer

  • Opportunity to accelerate career growth
  • Deepen technical proficiency in architecture design, migration planning, and hybrid/cloud native solutions
  • Build strategic influence by shaping infrastructure, data, and application modernization decisions for AI driven business workloads
  • Develop future ready capabilities through continuous learning, certifications, and hands on experience with Microsoft Cloud & AI technologies

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