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About the role

Solution Engineering - Data at Microsoft

Required Skills

azuredatabasesanalyticscloudaidata governancesolution designtechnical sales

About the Role

This role is a Cloud & AI Solution Engineer focusing on Microsoft's data platform, helping enterprises modernize with Azure databases and analytics. Responsibilities include driving technical sales, leading hands-on engagements, and building trusted relationships to accelerate adoption of Microsoft's cloud solutions.

Key Responsibilities

  • Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
  • Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.
  • Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions.
  • Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
  • Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.

Required Skills & Qualifications

Must Have:

  • Deep expertise in Microsoft's Analytics Portfolio including Microsoft Fabric, Azure Databricks, Purview Data Governance, and Azure Databases.
  • Experience with on-prem EDW such as Teradata, Netezza, Exadata, Hadoop & BI solutions.
  • Ability to drive technical sales and influence solution design through demos and PoCs.
  • Strong collaboration skills to work with engineering leaders and platform teams.

Benefits & Perks

  • Industry leading healthcare