Data architect Jobs in Lancy
Jobalert für diese Suche erstellen
Data architect • lancy
AI & Data Architect Specialist
LHHGeneva, Geneva, Switzerland- Gesponsert
Expert Openshift Data Foundation ODF / Ceph
Bechtle Suisse SAGeneva, CHConsultant (Programme Architect)
WHOGeneva, SwitzerlandData Architect
Business & DecisionGenevaAI and Data Architect Specialist
Michael PageGeneva, CHSolutions Architect
The International Air Transport AssociationGeneva, CHTechnical Architect
MavericxGeneva, Geneva, CHReltio Architect / Technical Lead
TalanGenève, SwitzerlandSenior Data Engineer
ZYTLYN TechnologiesGeneva, GE, CHSenior Data Engineer - Remote
Umanova SAGeneva or/and remote, Europe and/or remote, CHNetwork Architect
Qim InfoGenèvePrincipal Architect
Open Web TechnologyGeneva, Geneva, SwitzerlandPowerApps Architect - h/f
Michael PageGeneva, CHData Scientist
MSC CRUISESGE, CHSenior Data Scientist
WIPOGeneva, CH, SwitzerlandStagiaire Data Scientist
CHANELGeneveData Analyst
WIPOGeneva, CH, SwitzerlandData Engineer
SonarSourceGeneva- Gesponsert
Business & Data Development Manager
Goldbach Neo OOH SA1205 Genève, CHÄhnliche Suchanfragen
AI & Data Architect Specialist
LHHGeneva, Geneva, SwitzerlandFor one of our clients in Geneva, we are recruiting an AI & Data Architect Specialist who is open-minded and client-oriented, is passionate about his work, who believes in success and has a strong team spirit. Are you looking for you next challenging position? This opportunity is for you!
Responsibilities:
As an AI & Data Architect Specialist you design and implement data and AI ecosystem to support digital transformation. Moreover, you define and implement architecture and best practice for data and AI to transform data into actionable intelligence. You collaborate with application teams and the IT Enterprise and Data Architecte to ensure data assets are efficiently managed and ready to support and drive innovation.
Profile:
- Bachelor in IT
- Experience in a similar position
- Experience in AWS, OCI and data stack components
- Excellent knowledge in data architecture or data engineering
- Good knowledge in vector databases
- Knowledge in data management
- Understanding in machine learning pipelines and LLM Integrations
- Knowledge in SQL, Python and ETL/ELT