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Microsoft Cloud & AI Solution Engineer Data Platform Taiwan, Taoyuan City 707130497
02.09.2025
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Required/Minimum Qualifications:
Data Platform Solution EngineerIC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year.
- + years technical pre-sales or technical consulting experience
- Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical pre-sales or technical consulting experience
- Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical pre-sales or technical consulting experience
- OR equivalent experience
- Experience in Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration &modernizeand creating new AI apps.
- Experience in 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.
- Experience in leading technical engagements (e.g., hackathons,PoCs, MVPs) that drive production-scale outcomes.
- Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.
- + 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
- Experience indata warehouse & big data migration including on-premappliance(Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.
Data Platform Solution EngineerIC3 - The typical base pay range for this role across the U.S. is USD $85,100 - $169,800 per year.
Data Platform Solution EngineerIC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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.
- aintaindeep knowledgeinAnalytics Portfolio: MicrosoftFabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
- aintain and grow knowledgeinon-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
- cloudDatabase&Analytics
- Embody our
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