Cloud Data Architect

pOur 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. /p pWith 30 years of expertise, we continue to drive business transformation across industries by applying the latest technologies at scale in a sustainable way. /p pWe 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. /p h3Check out some of our ongoing projects: /h3 ul libAt Carrefour /b, 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. /li libBig Pharma International Company: /bOrange 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. /li libFor Paradigm, /bOrange 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 /ul pThis 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. /p h3What You’ll Do: /h3 pAll the responsibilities we’ll trust you with /p pAs a Cloud data architect, you will engage in developing and implementing organizational cloud data strategy in line with business processes. Your role will be pivotal in driving innovative data solutions and leveraging the full potential of data technologies at scale. /p ul liLead the design and implementation of modern data platform architectures. /li liDrive the development of robust data pipelines and storage solutions using cutting‑edge technologies, ensuring optimal performance, scalability, and security. /li libMentorship and Team Guidance: /b /li liMentor and guide a team of Data Engineers, ensuring project success and technical excellence. /li libClient Engagement and Strategy: /b /li liPartner with clients to define and implement strategic, data-driven solutions. /li libIndustry Trends and Monitoring: /b /li liStay updated on industry trends, emerging technologies, and obtain relevant certifications to ensure the application of best practices in data architecture. /li libTechnologies: /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 /ul h3Who you are: /h3 pWhat matters most for this role /p ul liInterest in bdigital transformation /b and bdata-driven /bsolutions /li libProactive mindset /b and boutside the boxthinking /b to tackle challenges. /li liYou are able to bexplain technical concepts to a non-technical audience /b. /li liYou excel in binterpersonal communication /b and know how to have a bprofessional and commercial approach /b with customers. /li liYou value bcollaboration /b as a way to succeed /li liStrong bcommunication /b and bpresentation /b skills in bEnglish + French or Dutch. /b /li /ul h3Your technical expertise: /h3 ul libA master’s degree /borb PhD /bin Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field /li libAt least 5 years professional experience /b with data related ICT projects. /li libData Platform Architecture: /b Experience with Modern Data platform architecture rollout from conception to implementation. /li liDeep understanding of data modeling techniques, including relational (Kimball, normalization) and NoSQL databases. /li libCloud Platforms: /b Experience with at least one Cloud platform (Azure, Google cloud, AWS). /li libData warehouse: /b Experience with Cloud data warehouses (Snowflake, Databricks, BigQuery, Synapse Analytics, Redshift). /li libData Processing: /b Advanced SQL skills, with experience in writing and optimizing complex queries for large datasets. /li liExperience with SQL orchestration tool such as DBT or Dataform. /li libProgramming: /