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. /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: /h3ullibAt 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. /lilibBig Pharma International Company: /b 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. /lilibFor Paradigm, /b 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. /ppInterested in taking part in this exciting journey? Please take a look at the following requirements and let’s meet up if that matches

your profile
/ph3What You’ll Do: /h3pAll the responsibilities we’ll trust you with /pulliLead the design and implementation of modern data platform architectures. /liliDrive the development of robust data pipelines and storage solutions using cutting-edge technologies, ensuring optimal performance, scalability, and security. /lilibMentorship and Team Guidance: /b /liliMentor and guide a team of Data Engineers, ensuring project success and technical excellence. /lilibClient Engagement and Strategy: /b /liliPartner with clients to define and implement strategic, data-driven solutions. /lilibIndustry Trends and Monitoring: /b /liliStay 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 /lilibProactive mindset /b and boutside the boxthinking /b to tackle challenges. /liliYou are able to bexplain technical concepts to a non-technical audience /b. /liliYou excel in binterpersonal communication /b and know how to have a bprofessional and commercial approach /b with customers. /liliYou value bcollaboration /b as a way to succeed /liliStrong bcommunication /b and bpresentation /b skills in bEnglish + French or Dutch. /b /li /ulh3Your technical expertise: /h3ullibA master’s degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field /b /lilibAt least 5 years professional experience /b with data related ICT projects. /lilibData Platform Architecture: /b Experience with Modern Data platform architecture rollout from conception to implementation. /liliDeep understanding of data modeling techniques, including relational (Kimball, normalization) and NoSQL databases. /lilibCloud Platforms: /b Experience with at least one Cloud platform (Azure, Google cloud, AWS). /lilibData warehouse: /b Experience with Cloud data warehouses (Snowflake, Databricks, BigQuery, Synapse Analytics, Redshift). /lilibData Processing: /b Advanced SQL skills, with experience in writing and optimizing complex queries for large datasets. /liliExperience with SQL orchestration tool such as DBT or Dataform. /lilibProgramming: /b Experience with at least one programming language: Python, Scala, Java, etc. /lilibDevOps methodologies: /b Strong experience with CI/CD processes and tools (GIT, Azure DevOps, GitLab). /li /ulh3It is n