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Microsoft Cloud Solution Engineer – Data & AI 
Taiwan, Taoyuan City 
701192526

Today

Qualifications

**Being a French native speaker or having a proficiency level of French is required.**

  • Demonstrated experience in technical pre-sales or technical consulting
    • OR a Bachelor’s degree in Computer Science, Information Technology, or a related field with relevant technical pre-sales or consulting experience
    • OR a Master’s degree in Computer Science, Information Technology, or a related field with relevant technical pre-sales or consulting experience
    • OR equivalent combination of education and experience
  • Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and 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-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.

Desirable;

  • Demonstrated experience in technical pre-sales, technical consulting, technology delivery, or a related field, or equivalent experience.
  • Proven experience with cloud, hybrid, or on-premises infrastructure, including architecture design, 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.
Responsibilities
  • 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: MicrosoftFabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
  • Maintain and grow expertise inon-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
  • Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums