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  • Posted: Aug 6, 2025
    Deadline: Not specified
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  • At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our custo...
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    Cloud & AI Solution Engineer – Data Platform

    Qualifications

    Required Qualifications

    • 5+ years technical pre-sales or technical consulting experience
    • OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
    • OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience
    • OR equivalent 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. 

    Additional or Preferred Qualifications 

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

    OR equivalent experience

    • 4+ 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.

    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: 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 

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Microsoft on jobs.careers.microsoft.com to apply

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