Solution Engineer, Cloud & AI Data

Microsoft is a leading technology company seeking a Cloud & AI Solution Engineer to join their Innovative Data Platform team. The role involves collaborating with customers to leverage Microsoft’s cloud database and analytics stack, driving technical sales, and leading hands-on engagements to accelerate adoption of cloud platforms.

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
• Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions
• Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums

Requirements:

• Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR 5+ years technical pre-sales or technical consulting experience OR equivalent experience
• 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience
• 4+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management
• Certification in relevant technologies or disciplines (e.g., Office 365, Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture)
• Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps
• Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance
• Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes