This opportunity is based in Geneva and Lausanne

Data Platform Architect

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In this role

•            You will work with business and software engineering teams to build data platforms from the ground up, driven by concrete business use cases


•            You will guide teams on the end-to-end project lifecycle, covering the initial conception, business requirements, software architecture, technical lead, coaching, and flawless delivery


•            You will provide technological and architectural consulting to our clients, create strategic roadmaps and advise on their execution


•            You will support pre-sales on tender responses, proof-of-concept work and the design of modern data platforms, both on premise and in the cloud


•            You will run group-wide thought leadership initiatives to advance our architectural practice and sustain our technical excellence

What we offer

•            A stimulating and professional working environment in a dynamic team with extensive expertise


•            Exciting projects and challenging problems to solve using the latest technologies.


•            Flat organizational hierarchies and cross-functional teamwork


•            Close contact with customers in diverse industries


•            A supportive culture with excellent opportunities for professional and personal development

About your profile

•            6+ years of experience in designing and implementing large-scale software solutions


•            Hands-on experience in architecting big data systems and analytical pipelines covering data collection, data preparation and storage, data analysis and serving to data scientists or business users


•            Solid knowledge of integration patterns and best practices such as synchronous vs. asynchronous communications, RESTful APIs, messaging, publish-subscribe


•            Deep understanding of distributed systems, real-time vs. (micro-)batch processing and related design principles and patterns


•            Solid knowledge of data-centric patterns, data modelling, query optimization on several storage solutions among SQL databases, document stores, graph databases, time-series databases, data warehouses


•            Experience with one or several distributed streaming / processing platforms such as Kafka, Spark or cloud-based alternatives


•            Strong knowledge of best practices and tooling for CI/CD pipelines, DevOps, automation, agile methods, automated testing, code quality


•            Knowledge of data management best practices; experience with data governance and catalog solutions is a plus


•            Experience in productionizing Machine Learning models is a plus


•            Strong computer science fundamentals such as algorithms and data structures


•            A passion for pragmatic, elegant design


•            Enthusiasm, creativity, flexibility, team spirit, and general awesomeness in software engineering


•            Strong leadership and communication skills


•            Fluent in French and in English. German would be a plus.

 

If you are INTERESTED in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates).Apply

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