Microsoft Cloud & AI Solution Engineer - Data Platform 

Taiwan, Taoyuan City 

495887117

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.

an Innovative Data Platformstage of deployment.

As a trusted

Required/minimum qualifications

• Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
  • OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience
  • OR 7+ years technical pre-sales or technical consulting experience
  • OR equivalent experience
• Experience with Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration &modernizeand creating new AI apps.
• Experience with 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.

Additional or preferred qualifications

• + years technical pre-sales, technical consulting, or technology delivery, or related experience

• OR equivalent experience

• +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.

Solution Engineering IC5 - The typical base pay range for this role across Canada is CAD $128,000 - CAD $222,400 per year.

Find additional pay information here:

• 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.

• Maintain deepexpertiseinAnalytics 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

• Embody our