Solution Engineer - Cloud & AI Data Platform

Microsoft Microsoft · Big Tech · United States · Solution Engineering

Solution Engineer focused on Microsoft's Cloud & AI Data Platform (Fabric, Azure Databases, Databricks) to help enterprises unlock its potential. This role involves technical sales, driving adoption through PoCs and workshops, designing secure and scalable architectures, and resolving technical blockers. The engineer will maintain deep knowledge of the data analytics and database portfolio, including AI-enhanced features like Copilot.

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

  • 3+ years technical pre-sales or technical consulting experience, OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical pre-sales or technical consulting experience OR equivalent experience

Nice to have

  • 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience
  • 3+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
  • Experience in data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2

What the JD emphasized

  • technical pre-sales
  • technical consulting

Other signals

  • AI/ML is a core component of the data platform
  • Focus on customer adoption and solution design
  • Hands-on engagements like PoCs and hackathons