Big Data/Analytics Solution Architect - IT

Job Description

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 tested or real end user environments. They also work with end users and ecosystem partners to deploy those solutions in early adopter production environments. A strong candidate will have:

- Experience in Requirements Engineering, Solution Architecture, Design, Development and Deployment

- A broad set of technical skills and knowledge across hardware, software, systems and solutions development and a across more than one technical domain.

- 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 communication skills including representing your company in industry standards organizations or industry technical forums or events in Cloud Security

- Strong technical team leadership, mentorship and collaboration.

- Ability to develop technical relationships with end-users, ISVs, OEMs and Client's platform architects and Proof-Of-Concept engineers.

Qualifications

Minimum Requirements:

- MS in Computer Science or related field

- 8+ years of technical solutions experience including 5+ years of in a combination of relevant Big Data/Analytics areas including:

- Enterprise Business Intelligence and Analytics (e.g., SAP, Oracle, Teradata)

- Hadoop and other Industry BigData Frameworks

- Industry vertical application for Big Data/Analytics

- Underlying infrastructure for Big Data Solutions (Clustered/Distributed Computing, Storage, Data Center Networking)

- 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.