Develop, maintain, and review data processes and architecture for both on-premise and cloud-based data systems; conduct team reviews and recommend data modeling, administrative, and design improvements.
Information/Data Architects are responsible for assisting in setting up the overall solution environment that solves the business problem from a data or information perspective. The information should have a basic understanding of various data and solution architectures that include leveraging structured and unstructured data.
In this role, the selected candidate will lead and provide suggestions and best practices for end to end data deliver; design and architect with the right balance of performance, scalability, ease of consumption.
Provide leadership in architecting the Cloud Based Data Platform (Azure, AWS, Google Big Query) for US technology team; design high performing cost effective cloud based multi-tenant (multi- client) structures.
As the Big Data / Azure Architect, you will focus on the development of brand new software leveraging Big Data and cloud technologies, utilizing your strong foundation in Microsoft based development. Knowledge of tools such as .NET, C#, MS SQL, WCF, and MVC are vital in the ideal candidate.
The Business Intelligence Solution Architect will be the subject matter expert responsible for analyzing business requirements and problems to determine the architectural framework, technology requirements, overall design and the right set of tools for the best possible business intelligence/data warehousing solution to fulfill the needs of our clients.
Develop a business and technical architecture strategy based on a situational awareness of various business scenarios and motivations; apply a structured business architecture approach and methodology for capturing the key views of the enterprise.
Creating the requirements analysis, the platform selection, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution benchmark systems, analyze system bottlenecks and propose solutions to eliminate them.