Azure Data Solution Engineer

Microsoft • Toronto, ON

4d • $96,000 - $177,600

About The Position

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. Ability to guide customers through data platform modernization decisions, balancing architecture, governance, cost, and performance considerations to enable AI‑ready and enterprise‑scale outcomes.

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.

Responsibilities

• Solid technical foundation designing and modernizing Cloud & AI solutions on Azure, partnering with customers to move from legacy environments to secure, scalable cloudnative architectures
• Ability to lead technical migration and modernization discussions, applying structured approaches (e.g., 6R strategy) to guide customer decisions.
• Experience influencing technical decision makers (architects, platform leads, engineering managers) by translating complex architecture into clear, defensible solutions.
• Solid understanding of hybrid and cloudnative architectures, including networking fundamentals (virtual networks, secure connectivity, routing, performance considerations).
• Knowledge of Azure security and compliance principles, including identity, networking security, data protection, and alignment to regulatory and compliance frameworks.
• Handson technical mindset with the ability to design, validate, and explain architectures, not just describe services.
• Proven collaboration skills working with customers, partners, engineering teams, and account stakeholders to deliver outcomes.
• Commitment to continuous learning, leveraging Microsoft training resources, handson labs, and certifications to deepen Cloud & AI expertise
• 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.
• 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—translating these capabilities into scalable, AI‑ready customer solutions. (L300 vs L400)
• Hands‑on experience modernizing data platforms and analytics workloads on Azure, including Lakehouse and modern data warehouse architectures, legacy EDW/Hadoop modernization, and migration to Fabric‑centric solutions.
• Solid understanding of end‑to‑end data architecture concepts, including ingestion (batch and streaming), storage, transformation, analytics, performance optimization, security, and data governance.
• Experience building and operating data engineering pipelines across Fabric and Databricks to support analytics, real‑time intelligence, and AI/ML workloads.
• Ability to guide customers through data platform modernization decisions, balancing architecture, governance, cost, and performance considerations to enable AI‑ready and enterprise‑scale outcomes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level