Nivel cariera

Middle (2-5 ani), Senior (5-10 ani)

Limbi vorbite

engleză, franceză

Adresa/adresele jobului

Provides Big Data architecture for the solution inline with guidelines, taking into account inputs from Digital Team and stakeholders and maintains it during product lifecycle.

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 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


  • 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)
  • Fluent in English (verbal and written)
  • French are highly appreciated