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Data Platform Solution Engineer – Cloud & AI Data Platform

Microsoft is a global technology company that develops, manufactures, and sells computer software, consumer electronics, and personal computers.
Data
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud

Job Description

Microsoft is seeking a Data Platform Solution Engineer to join their Cloud & AI Data Platform team in Melbourne. This role represents an exciting opportunity at the intersection of databases, analytics, and AI, working with Microsoft's cutting-edge cloud technologies.

The position involves helping enterprises maximize the potential of Microsoft's cloud database and analytics stack. You'll work directly with engineering leaders and platform teams to accelerate the adoption of Fabric Data Platform, including Azure Databases and Analytics. The role combines technical expertise with customer-facing responsibilities, requiring both deep technical knowledge and strong communication skills.

As a Solution Engineer, you'll lead technical engagements including Proof of Concepts, hackathons, and architecture workshops. You'll be responsible for guiding customers through secure, scalable solution design and influencing technical decisions. The role offers significant career growth opportunities, allowing you to develop business acumen while honing technical skills in cloud-native solutions.

The ideal candidate should have experience in technical sales or solution architecture, with specific expertise in Microsoft's Analytics portfolio including Microsoft Fabric, Azure Databricks, and Azure database services. You'll need to demonstrate ability to deliver technical demos, lead customer engagements, and understand cloud-native solution design principles.

This hybrid role offers up to 50% work from home flexibility, comprehensive benefits including healthcare and educational resources, and the opportunity to work with cutting-edge technology at one of the world's leading tech companies. Join Microsoft to help shape the future of cloud data platforms and AI solutions.

Last updated a month ago

Responsibilities For Data Platform Solution Engineer – Cloud & AI Data Platform

  • Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments
  • Lead hands-on engagements, hackathons, code-with sessions, and architecture workshops
  • Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions
  • Resolve technical blockers and objections, collaborating with engineering to share insights
  • Maintain deep expertise in Analytics Portfolio: Microsoft Fabric, Azure Databricks, Purview Data Governance and Azure Databases
  • Represent Microsoft through thought leadership in developer communities and customer forums

Requirements For Data Platform Solution Engineer – Cloud & AI Data Platform

PostgreSQL
Python
  • Experience in technical sales, pre-sales engineering, or solution architecture roles
  • Demonstrated ability to deliver technical demos, proofs of concept, or prototypes
  • Direct experience leading customer engagements such as architecture workshops
  • Understanding of cloud-native solution design, security, and scalability principles
  • Technical expertise in Microsoft Analytics portfolio including Microsoft Fabric
  • Experience with Azure database services such as Azure SQL Database, Cosmos DB, and PostgreSQL
  • Experience in designing and scaling cloud-based analytics or data governance solutions

Benefits For Data Platform Solution Engineer – Cloud & AI Data Platform

Medical Insurance
Education Budget
Parental Leave
Vision Insurance
Dental Insurance
  • Industry leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Opportunities to network and connect

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