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Integration Architect
Ref No.: 18-00140
Location: Newark, New Jersey
Position Type:Right to Hire
Start Date: 03/05/2018
Integration Architect - Cloud Technologies
Location: Newark, NJ
Duration: 6+ month contract to hire
Interview process: phone and in-person
Req. # 18-00140

Contact: Brian Anderson
banderson@contech-it.com



Part of high-performance cross-culture architecture team and  will focus on driving innovation and improving outcomes by developing innovated integration solutions using the latest cloud technologies.
 
Responsibilities:
  • Design Technical/Integration Architectures, including development, runtime and operations architectures
  • Define solutions using CQRS (Command and Query Responsibility Segregation) and messaging patterns with cloud-based services
  • Define and delivering integrated solutions by applying proven delivery methodologies including Agile techniques and Scrum process
  • Design API-, message- and event-driven architectures
  • Build multi-channel client architectures that provide differentiated end-user experiences by leveraging mobile platforms, such as smart phones, and other personal computing devices.
  • Creating and transforming applications into cloud-based solutions
Deliverables
  • Impact Assessments
  • Integration Architectures and Data Flows
  • Technical application architecture and design
  • Working proof-of-concepts and prototypes
Qualifications
  • Bachelor's degree in applied sciences or Computer Science; Masters preferred
  • 5 to 8 years of experience in architecting, designing or implementing Integration  Architectures and Applications on the cloud using APIs, Messaging, and Queuing technologies
  • Strong interest in innovative technologies and desire to work on pioneering projects
  • Ability to integrate multiple vendor products into a cohesive, well-thought-out solution
  • Experience in IT and a strong interest in leading-edge technology.
  • Experience in delivery of large scale solutions based on Spring Boot, Spring Data
  • Experience with apigee (google) Edge, lamda, mongodb, kafka and elasticsearch a plus
  • Experience with python, Hadoop, Hive, Map-Reduce, and other Big Data technologies
  • Excellent oral and written communication skills