Description
Enterprise Architect Blockchain/Data Analytics/Data Scientist
Enterprise Architect Blockchain/Data Analytics/Data Scientist required for our client in Brussels.
Experience and capability required:
Background in Engineering, Computer Science, Computer Networks
Self-motivation and ability to work autonomously are mandatory;
Minimum 5 years of recent practical experience in IT systems architecture and design;
Capability for modelling components, data and services;
Capability for specification of service interfaces, service data and reference models;
Good knowledge of service implementation patterns (synchronous, asynchronous, request/response, etc), distributed system design and messaging layer;
Good knowledge in virtual (federated) database technology, no-SQL databases and associated products;
Capability to handle abstract problems and work in research activities;
Strong background in mathematical/statistical concepts;
Comfortable manipulating and analysing complex, high-volume, high-dimensionality data from diverse sources;
Ability to communicate complex quantitative analysis and analytic approaches in a clear, precise, and actionable manner;
Knowledge in statistical tools (may include SAS, R, SPSS, Matlab, Mahout/MADlib, Stata), data management tools (may include: Hadoop tools, MapReduce, Pig, Hive, NoSql, Tableau, Hbase);
Knowledge of blockchain and its associated technologies and platforms, including Bitcoin and Ethereum;
Very strong capability for analysis, comparison and summary;
Good verbal and non-verbal communication skills including presentation skills;
Strong capability to write clear and structured documents in English;
Motivational skills. EAs must be able to motivate and inspire. A large part of the job is to influence a set of ideals in the environment;
Negotiation skills. EAs must negotiate to get things accomplished. EAs are individual contributors and do not have organisational power;
Critical Thinking. Being able to think quickly and on your toes is often required;
Problem Solving. EAs often face a set of complex and unique problems, so they must be able to evaluate and solve problems;
Big Thinking. Avoiding tunnel vision and being able to look at a problem from multiple angles;
Business savvy. Knowing the industry in which you work is essential, to help you understand how the technology can really affect the business;
Process Orientation. Thinking in terms of process is essential for an EA;
Ability to cope with fast-changing technologies used in application architecture.
Additional skills (considered as advantage):
Good knowledge of computer/network security;
Experience in international/multicultural environment and public administration;
Experience in architecture modelling tools;
Capability for modelling service data and reference models;
Good knowledge of interoperability technology (eg web services, message oriented Middleware, service oriented bus);
Large-scale programme oversight. Programmes are multiple related projects represented as a package. Managing programmes requires a person that is able to handle multiple aspects of a project at one time.