Data is the world's natural resource for the next century. In IBM Public Sector, we use the latest Big Data technologies, tools, and techniques to work collaboratively with our Public Sector clients to apply solutions to complex problems and strategic decisions for the public's benefit. Whether you are just starting your career, or at the top of your game, if you are excited about using your Big Data skills to help our government, healthcare or state and local clients, IBM's Big Data team is the place for you!As a Enterprise Architect at IBM, you'll team with some of the best minds in the industry to create innovative high quality solutions focused on clients' business needs. You'll do this using your systems knowledge and expertise to design and model applications, develop application solutions, and integrate them with packaged applications.The Big Data Enterprise Architect will be responsible for:
Providing technical architecture and direction to RRP in line with client business priorities and constraints. This individual will provide input into regarding new technologies and techniques, as well as participate in the development of proof of concepts and best practices.
Working with Solutions Engineering and Application Development along with the RRP team to create or update a technical architecture that meets the needs of the IRS Anomaly detection priorities for RRP.
Creating prototypes or analyses as required to support architecture and design decisions.
Updating or creating technical documentation – deliverables, work products and others to support RRP Delivery.
4 years experience managing large complex programs delivering COTS based software solutions to clients in the Public Sector.
4 years experience developing and leading technical architecture for Big data and Analytics solutions for large clients.
4 years experience with big data technologies such as Massively Parallel Processing In-memory databases and Hadoop file systems.
Technical Architecture experience with large databases analytics and rules platforms.
Functional understanding of SDLC and the creation of artifacts and deliverables required by the methodology