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.
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.
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.
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.
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.
Design, replication schemes, and query optimization techniques that support highly-varied (structured, semi-structured, and unstructured) and high-velocity (near real-time) data processing and delivery
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.
In this role, you will be the leading subject matter expert driving the business enablement both on the client side defining the architectural choices during all stages of exciting presales opportunities for world leading companies and on delivery side implementing them.
The DB2LUW DBA Tech Specialist will interact with functional representatives, business analysts, database analysts, and application development project teams to support the effective storage and retrieval of data.