Solution Engineer - Cloud & AI (Data)

Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. 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 and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. 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). Extensive experience with Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps. Extensive experience with 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.