Data Platform Solution Presales Engineer

Microsoft Microsoft · Big Tech · Sydney, NSW, Australia +1 · Digital Solution Engineering

This role is a presales engineer focused on Microsoft's data platform solutions, including databases and analytics, for mid-market customers. The role involves driving technical sales, leading hands-on engagements like Proof of Concepts and hackathons, and collaborating with engineering teams to accelerate the adoption of cloud data platforms. While the role operates in the 'era of AI' and leverages AI-powered tools and customer success strategies, its core function is in data platform solutions rather than direct AI/ML model development or research.

What you'd actually do

  1. Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
  2. Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.
  3. Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
  4. Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
  5. Maintain deep proficiency in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Cloud & AI Databricks, Purview Data Governance and Cloud & AI Databases: SQL DB, Cosmos DB, PostgreSQL.

Skills

Required

  • technical pre-sales or technical consulting experience
  • Cloud & AI Databases (SQL DB, Cosmos DB, PostgreSQL)
  • Cloud & AI Analytics (Fabric, Cloud & AI Databricks, Purview)

Nice to have

  • Databases and analytics
  • Cloud-native applications
  • Solution design
  • Architecture workshops
  • Migration and modernization
  • On-prem EDW (Teradata, Netezza, Exadata)
  • Hadoop & BI solutions
  • Thought leadership

What the JD emphasized

  • 5+ years technical pre-sales or technical consulting experience
  • Proficient on Cloud & AI Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
  • Proficient on Cloud & AI Analytics (Fabric, Cloud & AI Databricks, Purview) and competitors (B