Big Data Architect - Cloud

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Employer: Vauban
  • Internet - eCommerce
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
  • nationwide
    Updated at: 16.01.2019
    Short company description

    Vauban is a great independent Romanian Group with more than 11 years of sustainable and healthy growth. We do focus on innovation, learning, entrepreneurship and capacity to find new solutions. The company figures are +450 consultants, +100 clients, having locations in Romania and France.
    Our teams daily deliver Technology Services as consultancy (missions at clients’ premises), and also from our delivery center (integration & application development in digital and BI, Software as a Service management, Production, security and infrastructure).
    Vauban is also the Romanian partner with Top premium software editors, leader in data governance and security, being responsible to integrate the solutions and to ensure local support.


    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 (ingestion / treatment / learning / exhibition of services)
    Experience with No-SQL databases (column-oriented, key-value, graph) and SQL
    Strong problem solving, intelligence, initiative and ability to withstand pressure
    Excellent interpersonal skills and great sense of communication (ability to go into detail)


    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
    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
    Participation in the implementation of innovative cloud solution
    Strong implication on the validation of the capacities of the solution
    Contribution and advice on all architectural problems

    Other info

    Interesting salary conditions
    Undetermined period of contract
    Career plan (professional, academic and financial)
    Medical insurance
    Official training's and certifications
    English, French, soft skills training's
    Lunch tickets
    Yearly professional evaluation
    Financial benefits based in the company partnerships
    Professional and friendly working environment.