Expoint – all jobs in one place
Finding the best job has never been easier
Limitless High-tech career opportunities - Expoint

Microsoft Cloud & AI Solution Engineer – Data Platform 
Taiwan, Taoyuan City 
610432419

17.07.2025

in the era of AICloud & AISolution Engineer inbe at the forefront of innovation, working onprojects that

IaaS andPaaS services on the Azure Platformin the age of AI. These technologies empowerto build, deploy, and manageapplications in a cloud-native way.

n Innovative Data Platform

As a trusted

Required Qualifications (RQs)

  • + years technical pre-sales or technical consulting experience
  • ORBachelor's Degree in Computer Science, Information Technology, or related field AND4+ years technical pre-sales or technical consulting experience
  • ORMaster's Degree in Computer Science, Information Technology, or related field AND3+ year(s) technical pre-sales or technical consulting experience
  • OR equivalent experience
  • Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration &modernizeand 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-timeintelligent, and reporting using integrated Data Security & Governance.
  • Proven ability to lead technical engagements (e.g., hackathons,PoCs, MVPs) that drive production-scale outcomes.

Preferred Qualifications (PQs)

  • + years technical pre-sales, technical consulting, or technology delivery, or related experience
  • OR equivalent experience
  • 4+years experiencewith cloud and hybrid, or on premisesinfrastructure, architecture designs, migrations, industry standards, and/or technology management
  • ondata warehouse & big data migration including on-premappliance(Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.

Responsibilities
  • Drive technical sales with decision makers using demos andPoCsto influence solution design and enable production deployments.
  • Lead hands-on engagements—hackathons
  • Build trusted relationships with platform leads, co-designing secure, scalable architecturesand solutions
  • Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
  • aintaindeepexpertiseinAnalytics Portfolio: MicrosoftFabric(OneLake,DW, real-time intelligence, BI,Copilot), Azure Databricks,PurviewData Governanceand Azure Databases: SQL DB, Cosmos DB, PostgreSQL
  • aintain and growexpertiseinon-prem EDW (Teradata, Netezza, Exadata), Hadoop & BIsolutions
  • cloudDatabase&Analytics