Solution Architect, IoT

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Date: 11-Feb-2019

Location: Singapore, Singapore

The IoT Solution Architect plays an important role in the software development cycle, gathering requirements and directing the activities of the rest of the design team. This role requires excellent attention to detail, as the solution architect frequently needs to examine functional specifications and translate them into system guidelines that shape project development as well as find ways to align projects with enterprise-level systems. Responsibilities include conducting research on existing systems and devising solutions that work within those systems, meeting directly with clients to demonstrate solutions, answering questions regarding software capabilities and requirements, and working to resolve issues that arise during the development cycle.

 

 

Responsibilities

 

Gather Functional Requirements

 

One of the first duties of the solution architect during the project development lifecycle is to gather requirements and specifications from clients and users. This aspect of the role may require working closely with sales team members and enterprise architects to gain a complete sense of client expectations and limitations before undertaking a major development project. As part of this process, the solution architect may examine existing systems and programs to identify areas for improvement and integration.

 

 

Development & Specifications

 

Before developers can begin work on a project, a solution architect uses their familiarity with functional requirements and existing systems to develop project specifications. They may develop schedules and test plans, prepare documentation based on analyst reports, and assemble documents presenting project guidelines and milestones to team members. At the same time, solution architects may identify potential issues between systems and client specifications and propose new solutions to work around these limitations. Architect should also be enabled to develop solutions for IoT

 

 

Interface Directly with Clients

 

From the initial conversations to determine project scope and specifications to the final presentation of software solutions, a solution architect meets directly with clients to provide feedback and updates on development projects. They may prepare reports and presentations, as well as demonstrations, to keep the client informed about issues that arise during development and report on integration and deployment. They may also receive updated specifications and requirements from clients throughout the development lifecycle.

 

 

Manage External Vendors

 

Working with outside vendors to develop and implement specific aspects of software solution. This aspect of the role may require the solution architect to consider costs and timelines and ensure that vendors meet deadlines for deliverables and project elements. They may review proposals and estimates from these vendors and determine whether they fit into existing budgetary and time restrictions and ensure that external solutions work with internal development projects.

 

 

The ideal candidate should possess

  • BSc in Computer Science or in a related field
  • Prior experience as a software lifecycle developer
  • Highly technical skills and being able to translate functional requirements into robust software solutions
  • Determining how a software solution fits into an organization’s current structure and assists in the development of specifications and requirements
  • High level of analysis to examine a client’s current systems and determine overall project needs and scope
  • Extensive time management skills to determine development schedules and milestones and ensure that deliverables are completed on time
  • Communicating with team members, clients, and external vendors, so they exhibit excellent written and verbal communication skills
  • Excellent problem-solvers, able to quickly change direction based on updated client specifications or system limitations
  • Experience in
    • Hadoop, Spark
    • Apache Storm, Spark Streaming
    • HBase, Elasticsearch, HIVE
    • ELK (Elasticsearch, Logstash, Kibana)
    • WEKA, MOA, R, MLib, H20, DL4J, TensorFlow
    • Apache Kafka
    • Java

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