Big Data Architect - New SW Development Hub

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Employer: Cteam
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
  • Updated at: 28.11.2018
    Short company description

    Cteam Human Capital este una dintre companiile reputate in piata de resurse umane si livreaza servicii de consultanta HR (studii salariale, compensatii & beneficii, etc.), recrutare si selectie, administrare de personal, coaching, training, teambuilding, atat in Romania, cat si pe pietele din Europa unde este prezenta.

    Din 2016, Cteam Human Capital face parte din grupul international de companii Cteam, cu birouri in Bulgaria, Bosnia-Hertegovina, Cehia, Croatia, Moldova, Romania, Serbia, Slovacia.


    • Expertise in big data cloud architecture based on managed services or IAAS
    • Depth knowledge of AWS Managed Services
    • Depth knowledge of IAAS infrastructure manipulation on AWS
    • Depth knowledge of deployment automation solutions
    • Knowledge of the general big data ecosystem and the positioning of technologies
    • Knowledge of different big data patterns
    • Expertise in the implementation of end-to-end big data architecture
    • Experience with No-SQL databases (column-oriented, key-value, graph) and SQL
    • Strong problem solving, intelligence, initiative and ability to withstand the pressure
    • Excellent interpersonal skills and a great sense of communication (ability to go into detail)
    • Fluent in English (verbal and written)
    • French is highly appreciated


    Key responsibilities:
    • Specifies and maintains Data architecture of the solution that will be developed by data team
    • Ensures product performance, ecosystem integration, and flexibility
    • Provides input on any data architecture and data technology issue
    • Ensures data architecture, required capacities and tech alignment between teams maximizing reuse of components

    Main responsibilities
    • During project definition
    • Analysis (actors, flows, volumes, frequencies, types, security, ...)
    • Identification of the data capacity necessary to support the uses
    • Design of the adapted architecture (scalability, resilience, performance ...)
    • Identification of technologies adapted to constraints
    • Complexity management (roadmap)
    • Design of adapted test methods
    • Capitalization on past product architectures
    • During the iterative realization phase
    • Participation in the implementation of an innovative cloud solution
    • Strong implication on the validation of the capacities of the solution
    • Contribution and advice on all architectural problems
    • During integration and deployment
    • Contribution to upcoming product architectures
    • Participation in problem-solving

    Other info

    • Provides Big Data architecture for the solution in line with guidelines, considering inputs from
    • Digital Team and stakeholders and maintains it during the product life cycle.