Our client is a national Microsoft-focused consulting company who strives to be the global leader in technology-powered business innovation. 

About the Role

In this role you will lead the Data Cloud practice.  This will consist of owning a portfolio of national clients, develop and lead a high-performing team, support sales as the subject matter expert, and provide architectural and technical direction, with a vision for adopting new and emerging technologies. 

Requirementents:

• Relevant professional experience in consulting; including consulting practice leadership experience
• Experience with Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure SQL DW, and Azure SQL. 
• Providing data and insights to end-users using PowerBI, Azure API Apps or any other modern visualization platform or experience. 
• Knowledge of Azure DataBricks, Azure Cosmos DB, and Azure Stream Analytics, Azure Event Hubs, Azure Service Bus. 
• Experience with Git/Azure DevOps. 
• Knowledge of Lambda and Kappa architecture patterns. 
• Knowledge of Master Data Management (MDM) and Data Quality tools and processes. 
• Ability to help customers engineer Azure Data Solutions based on current on-premise data centers. 
• Working experience with Visual Studio, PowerShell Scripting, and ARM templates. Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.  
• The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration. Strong team collaboration and experience working with remote teams.  

Business Skills

•  Analytic Problem-Solving: Approaching high-level challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and human resources.
• Effective Communication: Detailing your techniques and discoveries to technical and non-technical audiences in a language they can understand.
• Intellectual Curiosity: Exploring new territories and finding creative and unusual ways to solve problems.
• Data Analysis Knowledge: Understanding how data is collected, analyzed and utilized.
• Deep understanding of Data Warehousing including ingestion, transformation and consumption of data