Solution Architect / Data Architect (Bigdata / Hadoop)
Position Title : Solution Architect/ Data Architect
Location : Charlotte, NC
Job Type : Full time
· The Solutions Architect – Data & Analytics will be specifically helping with search, setup data management group like graph, and will be creating the requirements analysis, the platform selection, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution.
· A Architect generally should have a lot of experience gained in normal solutions architecturebefore making the move to Big Data and Analytics solutions. He or She needs to have experience with the major big data solutions like Hadoop, MapReduce, Hive, HBase, MongoDB, Cassandra. Quite often they also need to have experience in big data solutions like Impala, Oozie, Mahout, Flume, ZooKeeper and/or Sqoop.
· In addition to big data solutions, a big data solutions architect needs to have a firm understanding of major programming/scriptinglanguages like Java, Linux, PHP, Ruby, Phyton and/or R. As well as have experience in working with ETL tools such as Informatica, Talend etc. He or she should have experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms.
· The design of the Big DataArchitecture is the basis of a big data platform and therefore the big data solutions architect should understand and have experience with data security and privacy concerns that could arise and that should be taken care of from the start.
· The role of a big data solutions architect is a very technical one, but he or she should also have some other skills that are important in designing the right architecture for the right need:
• To be able to benchmark systems, analyse system bottlenecks and propose solutions to eliminate them;
• To be able to clearly articulate pros and cons of various technologies and platforms;
• To be able to document use cases, solutions and recommendations;
• To have excellent written and verbal communication skills;
• To be able to explain the work in plain language;
• To be able to help program and project managers in the design, planning and governance of implementing projects of any kind;
• To be able to perform detailed analysis of business problems and technical environments and use this in designing the solution;
• To be able to work creatively and analytically in a problem-solving environment;
• To be a self-starter;
• To be able to work in teams, as a big data environment is developed in a team of employees with different disciplines;
• To be able to work in a fast-paced agile development environment.