Cloud & AI Solution Engineer – Data Platform

4 weeks ago

Melbourne, Victoria, Australia Microsoft Full time
Responsibilities (Text Only)- 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 expertise 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 expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. - Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forumsQualifications (Text Only)- 5+ 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 Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience - Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps. - Expert on 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.
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