Are you insatiably curious and deeply passionate about databases and analytics? Join our team as a Cloud & AI Solution Engineer for Data Platform at Microsoft. In this role, you'll tackle complex challenges and work on cutting-edge projects that leverage the latest technologies to drive meaningful impact. This position represents a growth opportunity within Microsoft Azure and includes a rich portfolio of products, including IaaS and PaaS services in the era of AI.
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As a Data Platform Solution Engineer, you will play a pivotal role in helping enterprises unlock the full potential of Microsoft’s cloud database and analytics stack at every stage of deployment. You’ll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform through hands-on engagements such as Proof of Concepts, hackathons, and architecture workshops.
This opportunity allows you to enhance your career growth, develop business acumen, and hone your technical skills while becoming adept at solution design and deployment. As a trusted technical advisor, you will guide customers through secure solution designs and influence technical decisions, ultimately helping them modernize their data platform and realize the full value of Microsoft’s offerings.
Responsibilities:
- Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
- Lead hands-on engagements, including hackathons and architecture workshops, to accelerate the 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 the Analytics Portfolio, including Microsoft Fabric, Azure Databricks, and Azure Databases.
- Represent Microsoft through thought leadership in cloud Database & Analytics communities.
Qualifications:
Required Qualifications:
- 5+ years of technical pre-sales or technical consulting experience, or
- Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years of technical pre-sales or technical consulting experience, or
- Master's Degree in Computer Science, Information Technology, or related field AND 3+ years of technical pre-sales or technical consulting experience, or
- Equivalent experience.
- Expertise in Azure Databases and Azure Analytics, including knowledge of migration and modernizing applications.
- Proven ability to lead technical engagements, driving production-scale outcomes.
Preferred Qualifications:
- 6+ years of experience in technical pre-sales, technical consulting, or technology delivery.
- 4+ years of experience with cloud and hybrid infrastructures or architecture designs.
- Proficiency in data warehouse and big data migration, including experience with on-premise appliances and Azure Synapse.
Language Requirements:
- Proficiency in English is likely necessary, though specific language requirements were not stated.
Microsoft is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to various protected characteristics.
