Microsoft Cloud & AI Solution Engineer – Data Platform 

Taiwan, Taoyuan City 

332798620

Required Qualifications:

• Proven years technical pre-sales or technical consulting experience
  OR Bachelor's Degree in Computer Science, Information Technology, or related field AND a few years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND a couple year(s) technical pre-sales or technical consulting experience OR equivalent experience
• Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps OR Equivalent experience.
• Azure Analytics (Fabric, Azure Databricks, Purview) OR competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
• Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.

Preffered Qualifications:

• Several years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience
• A few years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
• Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.
• Proficiency in Norwegian is preferred.

• 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 expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.

• Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.

• Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums