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.