Cloud Data Architect

pbDate de publication : /b Oct 22, 2026, 2:43PM /ppStep into your next challenge: Cloud Data Architect at Orange Business, right here in Brussels. /ppbCloud Data Architect
- Consultant /bbr/Permanentbr/Fluent in French or Dutch + English /ppOur Digital Data team at Orange Business is a dynamic community of expert consultants revolutionizing Customer Experience, Cloud, Data, and AI across various sectors, including retail, finance, manufacturing, life sciences, and public services. /ppWith 30 years of expertise, we continue to drive business transformation across industries by applying the latest technologies at scale in a sustainable way. /ppWe have a significant international presence, with 20% of our activity extending beyond Belgium, and this number continues to grow. By joining us, you will be part of a global impact on businesses around the world. /ph3Check out some of our ongoing projects: /h3ulliAt Carrefour, Orange Business ensures the seamless operation and evolution of the Data Platform, managing both analytical and operational data flows with a focus on reliability and performance. We handle diverse workloads, including batch and stream processing. By processing everyday terabytes of data that feed dashboards and web APIs, we empower Carrefour to leverage data-driven insights and support their business growth. /liliBig Pharma International Company: Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized the CI/CD pipelines. Our efforts resulted in a more efficient and reliable platform, allowing scientists to quickly and safely assess the potential of tested molecules for new drugs development. /liliFor Paradigm: Orange Business created a data platform and a unified set of tools for all public sector to conduct data projects, with a focus on Kubernetes and DevOps processes to enable self-service and standardization. We were able to handle many projects from all administrations, ranging from API management to data processing analytics, as well as data science modelling /li /ulpThis is a great opportunity for someone who enjoys owning deliverables, working close to the business, and growing their craft in a supportive, high-standards engineering culture. /ph3What You’ll Do: /h3ullibData Platform Architecture: /bbr/
- Lead the design and implementation of modern data platform architectures.br/
- Drive the development of robust data pipelines and storage solutions using cutting-edge technologies, ensuring optimal performance, scalability, and security. /lilibMentorship and Team Guidance: /bbr/Mentor and guide a team of Data Engineers, ensuring project success and technical excellence. /lilibClient Engagement and Strategy: /bbr/Partner with clients to define and implement strategic, data-driven solutions. /lilibIndustry Trends and Monitoring: /bbr/Stay updated on industry trends, emerging technologies, and obtain relevant certifications to ensure the application of best practices in data architecture. /lilibTechnologies: /b Sourcing, capturing, transforming, and preparing data using the newest technologies such as Kafka, Spark, DBT, Snowflake, BigQuery, Synapse, Databricks, Airflow, Elasticsearch, and many more. /li /ulh3Who you are: /h3ulliInterest in bdigital transformation /b and bdata-driven /bsolutions /liliProactive mindset and outside the box thinking to tackle challenges. /liliYou are able to explain technical concepts to a non-technical audience. /liliYou excel in interpersonal communication and know how to have a professional and commercial approach with customers. /liliYou value collaboration as a way to succeed /liliStrong communication and presentation skills in English + French or Dutch. /liliA master’s degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field /liliAt least 5 years professional experience with data related ICT projects. /liliData Platform Architecture: Experience with Modern Data platform architecture rollout from conception to implementation. Deep understanding of data modeling techniques, including relational (Kimball, normalization) and NoSQL databases. /liliCloud Platforms: Experience with at least one Cloud platform (Azure, Google cloud, AWS). /liliData warehouse: Experience with Cloud data warehouses (Snowflake, Databricks, BigQuery, Synapse Analytics, Redshift). /liliData Processing: Advanced SQL skills, with experience in writing and optimizing complex queries for large datasets. Experience with SQL orchestration tool such as DBT or Dataform. /liliProgramming: Experience with at least one programming language: Python, Scala, Java, etc. /liliDevOps methodologies: Strong experience with CI/CD processes and tools (GIT, Azure DevOps, GitLab). /liliDeployment Orchestration: Knowledge of Docker and orchestration platfor