Location - Anywhere from the Mississippi River on West including but not limited to, Dallas, TX, or Los Angeles, CA or San Francisco, CA, or Phoenix, AZ just to name a few. This person will work out of their home and travel 25 - 50%. IBM’s Analytics organization is looking for an industrial-focused hands onAnalytics Cloud Solutions Architect to determine the client's business and technical requirements and apply their technical and industry knowledge to recommend new solutions. This position will be responsible for collaborating with the clients to define, design, and detail the technical aspects and feasibility of proposed solutions in order to progress/close sales and develop trusted customer relationships. The position will assist the sales representatives with identifying opportunities and quantifying the value proposition of our solutions with clients. These are also highly skilled technologists that will build excitement and passion around IBM Hybrid Cloud, Data Integration, Transformation and Open Source Technologies to drive IBM’s core strategy around agile development and engagement. Must be comfortable leveraging a variety of techniques that include internal/external blogs, demos / prototypes, applications, discussions, conferences, "meet-ups", university presentations, just to name a few.Ideal Candidate
A self-motivated, communicator, cross-functional individual, with a passion for emerging technology
Seasoned with the use of Data Integration and governance tools, Hadoop frameworks, and Open Source Technologies.
Technically sound enough to use and leverage the capabilities of various technologies necessary to solve customer business problems.
Functions well in a highly collaborative environment, ability to work with various teams and act as an extension to the sales force and helping to build the pipeline and assist in generating OI.
Will assist the sales teams with their breadth of knowledge and ability to have an impact on the business.
Help expand IBM’s sales and channels ecosystem to collaborate with Sales and Business Partners
Lead internal and external technology community collaboration to experiment with technologies, and curate ideas that could be brought to market and scale
Have a solution-oriented approach to help solve business problems. Help build relationships with industry leaders and solution providers
Excellent communication skills and accomplished public speaker with community participation and ability to connect with C-Level Executive and help build relationships with executives and decision makers.
Be the conduit between the customers and the lab, providing visibility and knowledge of our experiences and observations with the product offering management team and help drive the creation
Leverage years of data integration, industry, middleware, enterprise software experience.
Can help drive events and cater to the needs of participants that would demand a presence from a variety of participants including Developers, Architects, Data Scientists, Engineers, Managers, Evangelists, and Technologists
Continue to expand their knowledge and keep up to date with current events, important industry trends, and evolutions. Help build and foster key relationships with industry analysis and representatives
5+ years of relevant experience in IT Industry with a focus on Data Integration and Management, Enterprise Architecture, Cloud Computing, Analytics.
Data Integration and governance technologies
Ability to develop compelling architectural workshops which tie IBM Solutions to Customer Value
Ability to demonstrate Technical aptitude, business value aptitude, Industry market imperatives, written/oral communication and interpersonal skills
Ability to present roadmap, vision, proposed architectures and business outcomes to all audiences – C-Suite, Line of Business, architects
Intimate knowledge and understanding of Hadoop, Spark, and NoSQL
Experience or exposure to Java and/or Python programming languages
Experience or exposure in assembling applications in IBM’s Bluemix or equivalent.
Understanding of SQL, SQL optimization techniques
Experience with machine learning, text analysis, data mining, statistical analysis, and natural language processing
Have demonstrated in their past experience deploying enterprise-wide solutions
Know and understand agile application development, SDLC and Continuous Integration
Understanding Distributed Computing, Data Processing / Analysis and Modeling Paradigm(s)
2+ year in automotive, oil & gas, industrial products, electronics, or aerospace & defense industry experience (technology side)
Data Warehouse experience
Understand Solution Engineering
Startup and entrepreneurial attitude and work ethic
5+ years of relevant experience in IT Industry with focus on Data Integration and Management, Enterprise Architecture, Cloud Computing, Analytics.
Analytic SW Sales