Big Data Architect

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

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 (road map)
• 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

Experience required:

• Expertise in big data cloud architecture based on managed services or IaaS
• Depth knowledge of Google Cloud Platform
• 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 is appreciated.

Benefits:

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