Customer Experience Team Azure Customer Experience
Are you interested in working for one of the most exciting products in Microsoft, passionate about exceeding customer expectations and advancing Microsoft's cloud first strategy? Are you interested in a start-up like environment, passionate about cloud computing technology and driving growth in one of Microsoft's core businesses? If so, then look no further than the Azure Customer Experience Team! Microsoft Azure provides customers with on-demand and infinitely scalable infrastructure and platform for customers to build, host, and scale service applications on the Internet through Microsoft's global data centers. FastTrack for Azure helps customers onboard to Azure, getting them on track to "build it right, architect it right, the first time". FastTrack takes a solution-centric approach, providing customers with Microsoft Azure engineers, tools and best practices significantly increasing customer success with Azure. Our team is looking for you, a senior customer facing Azure engineer, that
Onboard customers to Azure enabling them to deploy highly robust analytical solutions leveraging big data, machine learning and advanced analytics Understand customers' overall data estate, IT and business priorities and success measures to design and implement architectures and solutions using advanced analytics and artificial intelligence Share knowledge with others through solution documentation, engage technical communities, build automated self-help solutions and contribute to training assets. Enhance product experiences by sharing feedback with product owners and contributing to the product
Basic Qualifications 5+ years of experience building scalable and reliable data pipelines based on data processing technologies like Azure, AWS, Google Cloud Platform etc Breadth of technical experience and knowledge in data analytics, with depth in two or more of the following areas: Cortana Intelligence Suite, Stream Analytics, ML, Bot Service, or a competitive technology. Breadth of technical experience and knowledge in data platforms, with depth in two or more of the following areas: SQL DB, SQL DW, HDInsight, Data Factory, Data Lake, CosmosDB, SQL Service o VMs, Azure DB, or a competitive