Cloud & AI Solution Engineer – Data Platform

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 in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
• Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums.

Qualifications

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and / or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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