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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