Overview

The Big Data/Analytics Solution Architect is responsible for understanding emerging and evolving end user usage models and requirements in Big Data and Analytics, documenting those usage models and business, technical and user requirements and designing a solutions architecture to meet those requirements and specifying an implementation HW and SW solution stack. Solution architects document the solution architectures and solution requirements and, when needed, define end user proofs of concept to test the architectures, usage models and corresponding Intel technologies in testbed or real end user environments.

Responsibilities

• Experience in Requirements Engineering, Solution Architecture, Design, Development and Deployment.
• Demonstrated experience in real world IT or other solutions environments including creating (on your own or with a team) a product or IT solution in the area of Big Data/Analytics
• Strong technical team leadership, mentorship and collaboration.
• Ability to develop technical relationships with end-users, ISVs, OEMs and Intel platform architects and Proof-Of-Concept engineers.

Skills and Qualifications

• 8+ years of technical solutions experience including 5+ years of in a combination of relevant Big Data/Analytics areas.
• Hadoop and other Industry BigData Frameworks.
• Enterprise Business Intelligence and Analytics (e.g., SAP, Oracle, Teradata)
• Deployment of a large distributed Big Data Application (e.g., Video Surveillance)
• Experience designing, building and operating cloud services in IT, Systems Integrator or Service Provider.