Data Platform Architect

IN THIS ROLE
• You will work with business and data engineering teams to build data platforms from the ground up, driven by concrete business use cases.
• You will guide teams through the end-to-end project lifecycle, covering the initial conception, business requirements, software architecture, implementation, and flawless delivery. You will be acting as a technical lead and coach for the more junior team members.
• 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 data architecture 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.

YOUR PROFILE
• 8+ years of experience in designing and implementing large-scale data-intensive 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 (Snowflake, Databricks). A certification is a big plus.
• Strong experience with Cloud services on at least one of Azure, AWS, GCP.
• Strong knowledge of best practices and tooling for CI/CD pipelines, DevOps, automation, agile methods, automated testing, code quality.
• Good communication skills, ability to create and sustain client relationships.
• Fluent in French and in English.