Solution Engineer - Cloud & AI (Data)

## About the role - 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. ## Requirements - Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience. - Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience. - 7+ years technical pre-sales or technical consulting experience OR equivalent experience. - 8+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience. - 6+ 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. - 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. ## What we offer - [No content provided in the original text] ## About us - [No content provided in the original text]