In an ever-increasing competitive world of business, the ability of an organization to collect, manage and effectively analyze their data will not only be critical to their success, but essential for their survival. Microsoft is uniquely positioned to make a large impact by helping businesses and consumers succeed with the suite of big data and RDBMS services available in the cloud. This platform enables companies to build intelligent data warehouses and derive knowledge from combining big data sources with high value relational data. Businesses are just starting to envision what's possible in the cloud using technologies like machine learning and cognitive services. In the Azure Data team, we deliver the core products to build highly scalable, massively parallel, cloud solutions with services such as Azure SQL Database, Azure SQL Data Warehouse and Azure Cosmos DB. These products are not only fueling tremendous growth in our business but form the foundation for critical operational and
Responsibilities include: Working hands-on with prospects and customers to demonstrate value and driving success from demo to proof-of-concept to design and implementation Capturing best-practices from engagements, field teams and engineering, and sharing with the worldwide Azure Data Services community via whitepapers, blogs, presentations and training Maintaining deep understanding of complementary and competitive technologies and vendors and be able to design and position a more compelling Azure Data Services based solution Collaborating with product management and engineering to continuously
Basic Qualifications: 8+ years of technical and consulting experience in the following or related areas: database products, system migrations, project management, customer and partner communications, partner enablement and cloud adoption projects. Demonstrated ability to engage with customers and partners to synthesize a simple solution from ambiguous and/or complex business requirements and constraints Hands-on experience in designing, implementing and tuning big data and data warehouse solutions Understanding of database systems (MPP architectures preferred), usage scenarios and implementations