Job description

Job :

Main Responsibilities: 

• Independently lead complex technical topics, from the scoping phase to production deployment
• Present the architectural vision to stakeholders and challenge technical choices
• Act as the technical referent for assigned DATA/AI areas
• Analyze client needs for migrating legacy DATA architectures or for new DATA/AI Use Cases
• Define architectures integrating operational and organizational constraints (development/production, FinOps, processes)
• Participate in writing guidelines and developing blueprints
• Adapt to varied and potentially new technical ecosystems (e.g., Rakuten, new emerging Cloud platforms)
• Support DATA/AI projects from end to end
• Monitor deployment execution according to the established schedule
• Participate in project meetings and interact with various stakeholders
• Collaborate with international teams (France and abroad)
• Ensure continuous technological watch on DATA, AI, and Cloud ecosystems
• Propose new tools, platforms, and architectures
• Explore and evaluate new technologies to anticipate market evolution
• Share knowledge within the team and contribute to collective skill development

• Master's degree in Computer Science (Bac +5)
• Significant experience in Cloud and DATA/BIG DATA architecture

Technical Skills: 
DATA/AI Culture
• Solid general knowledge in DATA and Artificial Intelligence (Machine Learning, MLOps, GenAI, LLMs)
• Understanding of data governance, quality, and lineage challenges
• Ability to connect business use cases with technical DATA/AI solutions
GCP Cloud Expertise
• Complete mastery of the GCP platform (APIs, CLI)
• Infra/compute/storage services (GCE, GKE, Cloud Storage, Cloud SQL, App Engine)
• Resource management and IAM
• Serverless and PaaS solutions
• Cloud security
Data & Big Data
• Design of data lakes and data warehouses
• Data modeling (star/snowflake schema)
• Processing tools (Spark, Spark Streaming, Hive, Databricks, Dataflow)
• Data transfer solutions (Informatica, Talend, Nifi, Kafka, Event Hub, Data Factory, Pub/Sub)
Infrastructure & DevOps
• Openstack, Kubernetes/Openshift, Starburst infrastructures
• Infrastructure as Code (Terraform, Ansible, Helm)
• CI/CD processes
• MLOps and scripting languages

Additional Skills: 
• Knowledge of AWS or Azure (a plus)
• Successful experience in Cloud migration
• Ability to quickly gain skills on new platforms and technologies (e.g., Rakuten or equivalents)

Behavioral Skills:
• Excellent communication skills (French/English)
• Technical leadership and ability to lead topics independently
• Intellectual curiosity and motivation to explore new technological horizons
• Adaptability to changing and diverse technical environments
• Proactivity and innovation
• Ability to work in a team and in a multicultural context
• Agile methodology
• Pedagogy and service orientation