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Cloud & AI Solution Engineer Data Platform

Global technology leader that develops and supports software, services, devices, and solutions.
$106,400 - $272,300
Data
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud

Job Description

Microsoft is seeking a Cloud & AI Solution Engineer for their Data Platform team to drive technical sales and accelerate the adoption of Microsoft's cloud platforms. This role combines deep technical expertise with customer-facing responsibilities, making it ideal for those passionate about databases, analytics, and AI technologies.

The position requires leading technical engagements through demos, PoCs, hackathons, and architecture workshops to help customers modernize their data platforms and leverage Microsoft's cloud solutions. You'll work with Azure Databases (SQL DB, Cosmos DB, PostgreSQL), Microsoft Fabric, Azure Databricks, and Purview Data Governance, while maintaining knowledge of on-premises solutions and competitor offerings.

The role offers competitive compensation ranging from $106,400 to $272,300 depending on location and experience level, with higher ranges for San Francisco and New York City areas. Microsoft provides comprehensive benefits including industry-leading healthcare, educational resources, parental leave, and investment options.

Key responsibilities include building trusted relationships with platform leads, resolving technical blockers, and representing Microsoft in cloud database and analytics communities. The ideal candidate will have 5+ years of technical pre-sales experience, strong knowledge of cloud and hybrid infrastructure, and expertise in data warehouse migration and analytics solutions.

This is a hybrid position with 0-25% travel required, offering the flexibility to work up to 50% from home. The role presents an excellent opportunity to work with cutting-edge technologies while helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack.

Microsoft's culture emphasizes growth mindset, innovation, and collaboration, making this an ideal position for someone who wants to impact how organizations leverage data and AI technologies while working for a global technology leader. The company is committed to diversity and inclusion, providing equal opportunities for all qualified applicants.

Last updated 21 hours ago

Responsibilities For Cloud & AI Solution Engineer 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 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 knowledge in Analytics Portfolio: Microsoft Fabric, Azure Databricks, Purview Data Governance and Azure Databases
  • Maintain and grow knowledge in on-prem EDW, Hadoop & BI solutions
  • Represent Microsoft through thought leadership in cloud Database & Analytics communities

Requirements For Cloud & AI Solution Engineer Data Platform

Python
Java
PostgreSQL
MongoDB
  • 5+ years technical pre-sales or technical consulting experience
  • Experience in Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps
  • Experience in Azure Analytics (Fabric, Azure Databricks, Purview) and competitors
  • Experience in leading technical engagements (hackathons, PoCs, MVPs)
  • 4+ years experience with cloud and hybrid infrastructure
  • Proficient in data warehouse & big data migration including on-prem appliance
  • Bachelor's Degree in Computer Science, Information Technology, or related field

Benefits For Cloud & AI Solution Engineer Data Platform

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
401k
  • 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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