
Data Platform Innovator
5 days ago
We are seeking a skilled Cloud & AI Solution Engineer to lead the design and implementation of cloud-native databases and analytics applications. As a key member of our team, you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack.
As a trusted technical advisor, you will guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. You will help customers modernize their data platform and realize the full value of Microsoft's platform.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. Our company values respect, integrity, and accountability, creating a culture of inclusion where everyone can thrive at work and beyond.
Key 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 expertise in Analytics Portfolio: Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
- Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
- 5+ years technical pre-sales or technical consulting experience OR Tertiary qualification in Computer Science, Information Technology, or related field or technical pre-sales or technical consulting 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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