IBM Analytics Cloud Architect - West in Austin, Texas

IBM’s Analytics organization is looking for a cloud technical sales architect with experience in the Energy & Utilities, Media & Entertainment, Computer Systems Integrator, and/or Telecommunications markets. This is a hands-on, evangelist role and requires and understanding of cloud technologies and platform development lifecyclesThe role is that of a pre-sales technical architect who partners with their Cloud Data Service Account Portfolio Representative and SaaS Sales counterpart to work closely with clients to define a Journey Map and positions SaaS solutions that suit their enterprise and LOB needs. This individual is very enthusiastic, creative, highly collaborative, competitive and uses evangelizing techniques to build clients interest in IBM’s SaaS Portfolio. They will help build and use product demonstration assets that can be used in the sales cycle to showcase to the client, by example, the capabilities of the solution. In this role, they will also articulate and plan for proofs of concept, and compare technology alternatives.They will engage with Clients and IBM Market Experts to define and communicate the technical components that are feasible in supporting market centric requirements to generate OI, sales progression and revenue generation.The individual should be self-reliant, technically sound with hands-on experience using various open source and cloud technologies, understand hybrid cloud deployment architectures and methodologies, application development experience, and have deep knowledge and core skills in data and analytics. The scope of this job role includes an architectural understanding SaaS offerings, understanding of the patterns used for "Born on Cloud" SaaS solutions, and their integration needs with enterprise applications and data. Use the “Cloud First” approach for development capabilities and reference usage patterns & architectures by market. The individual should have a good understanding of SaaS offerings and methodologies, the cloud delivery platform and change processes. They should have a sound understanding of regulatory, legal and professional standards, management of performance of SaaS systems and services in relation to their contribution to business performance. Understands the management of SaaS services across IBM and platform technologies in SaaS and hybrid solutions. Responsibilities

  • Engage with the right IT and Business owner and work with them on Solution Discovery and to align the SaaS product solution and offering to address their needs

  • Define the overall architectural solution incorporating SaaS and enterprise systems

  • Clearly articulate IBM’s POV for cloud adoption and use, while promoting IBM and Business Partner Services

  • Work with customers and position turnkey and tailored SaaS offerings overcoming technical obstacles

  • Help the client through the journey of adopting a SaaS solution

  • Manage and assist, with technical expertise, demonstrating, researching and testing scenarios for the SaaS solution and overcoming client objections

  • Build a relationship with the Client for successful adoption of SaaS offerings, while evangelizing SaaS expansion scenarios

  • Travel up to 50%

  • At least 5 years of experience architecting, developing, or maintaining production-grade cloud solutions, including writing software in one or more languages such as Python, Go, JavaScript, Java, C++, or similar utilizing SQL and NoSQL databases.

  • Experience with networking and web standards such as DNS, DHCP, TCP/IP, HTTP, web security mechanisms, proxies, firewalls, load balancers, and scripting tools (Perl, Bash, Python, Ruby, etc.).

  • Experience working with the concepts, architectures, deployment methodologies around private, public, hybrid and peer clouds, architectural capabilities and limits in developing applications using REST API architectures and web services, such as Twitter, weather, geospatial.

  • At least 2 years of experience with Spark & Hadoop technologies and enabling technologies like Kafka, Quarks, Spark, Ranger, Atlas, ElasticSearch, and HIVE on the Cloud.

  • At least 2 years of experience with NoSQL databases like HBase, CouchDB, Cloudant, Cassandra and MongoDB.

Analytic SW Sales