Senior Solution Engineer - Cloud & AI Data Platform

Microsoft Microsoft · Big Tech · United States · Solution Engineering

Senior Solution Engineer for Microsoft's Cloud & AI Data Platform, focusing on Azure databases and analytics services. The role involves driving technical sales, leading customer engagements like PoCs and hackathons, and collaborating with engineering to accelerate adoption and modernize customer data platforms. Requires deep knowledge of Microsoft's data analytics portfolio and cloud technologies.

What you'd actually do

  1. Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
  2. Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.
  3. Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
  4. Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
  5. Maintain deep knowledge 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.

Skills

Required

  • 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.

Nice to have

  • 6+ years technical pre-sales, technical consulting, technology solutions, practice development, architecture OR equivalent experience.
  • 4+ years experience working in a customer-facing role (e.g., internal and/or external).
  • 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management.
  • Knowledgable in Data Analytics (e.g., Databricks, Fabric, CosmosDB, Purview).
  • Knowledble in programming languages (e.g., Python, R, SQL).
  • Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).

What the JD emphasized

  • technical pre-sales
  • technical consulting