Note: The job is a remote job and is open to candidates in USA. Microsoft is a leading technology company seeking a Solution Engineer - Cloud & AI Data Platform to join their Innovative Data Platform team. The role involves helping enterprises leverage Microsoft’s cloud database and analytics stack, guiding customers through secure solution design, and driving technical sales through hands-on engagements.
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 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
- Maintain and grow knowledge in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions
- Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
- Embody our culture and values
Skills
- 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
- 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
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