About the Role

The role is a Cloud & AI Solution Engineer at Microsoft, focusing on helping enterprise customers modernize their data platforms using Microsoft's cloud database and analytics stack. Responsibilities include driving technical sales, leading hands-on engagements, and building trusted relationships to accelerate adoption of Microsoft's cloud platforms.

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 and Azure Databases, and represent Microsoft through thought leadership in cloud Database & Analytics communities.

Required Skills & Qualifications

Must Have:

• Proven technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND few years of technical pre-sales or technical consulting experience OR equivalent experience.
• 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.

Benefits & Perks

• Industry leading healthcare