Solution Engineering

Role Overview: Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI If so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning. Key Responsibilities: - Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. - Lead hands-on engagementshackathons and architecture workshopsto accelerate adoption of Microsofts 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. Qualifications: - The ideal candidate should have a strong passion for databases and analytics, along with the ability to tackle complex challenges in a dynamic environment. - Experience in working with cloud database and analytics solutions, particularly in Microsoft Azure. - Proven track record in solution design and deployment, as well as influencing technical decisions. - Deep understanding of technologies such as Azure Databases, Azure Databricks, and other related platforms. - Strong communication and collaboration skills to work effectively with engineering leaders and platform teams. Role Overview: Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI If so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning. Key Responsibilities: - Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. - Lead hands-on engagementshackathons and architecture workshopsto accelerate adoption of Microsofts 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. Qualifications: - The ideal candidate should have a strong passion for databases and analytics, along with the ability to tackle complex challenges in a dynamic environment. - Experience in working with cloud database and analytics solutions, particularly in Microsoft Azure. - Proven track record in solution design and deployment, as well as influencing technical decisions. - Deep understanding of technologies such as Azure Databases, Azure Databricks, and other related platforms. - Strong communication and collaboration skills to work effectively with engineering leaders and platform teams.