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Cloud data architect - consultant

Haren (Bruxelles-Capitale)
Orange Business Services / Silicomp
Architecte
Publiée le 27 mai
Description de l'offre

Ph3Cloud Data Architect - Consultant /h3 pPermanent /p pFluent in French or Dutch + English /p 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 pAs a Cloud data architect, you will engage in developing and implementing an 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 libData Platform Architecture: /b Lead the design and implementation of modern data platform architectures; drive 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 Mentor and guide a team of Data Engineers, ensuring project success and technical excellence. /li libClient Engagement and Strategy: /b Partner with clients to define and implement strategic, data‑driven solutions. /li libIndustry Trends and Monitoring: /b Stay updated on industry trends, emerging technologies, and obtain relevant certifications to ensure best practices in data architecture. /li libTechnologies: /b Source, capture, transform, and prepare 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 /b solutions /li libProactive mindset /b and boutside the box thinking /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 or PhD /b in 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; deep 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; experience with SQL orchestration tools such as DBT or Dataform. /li libProgramming: /b Experience with at least one programming language: Python, Scala, Java, etc. /li libDevOps Methodologies: /b Strong experience with CI/CD processes and tools (GIT, Azure DevOps, GitLab). /li /ul h3Other preferred qualifications: /h3 ul libDeployment Orchestration: /b Knowledge of Docker and orchestration platforms (Kubernetes, OpenShift, AKS, GKE) with experience in deploying and managing containerized applications; experience with micro‑services and event‑driven architecture. /li libScripting Unix: /b Knowledge of Unix environments and scripting languages such as Bash, PowerShell, etc. /li libData Modeling Concepts: /b Knowledge of the Data Mesh concept and experience with the Data Vault 2.0 modeling methodology. /li /ul h3Benefits: /h3 ul libCommunity of experts: /b As Digital Natives, we put innovation at the heart of our expertise; continuously seeking new ideas, we proudly host regular “Guild” workshops and knowledge‑sharing sessions through our Data Meetups. /li libProfessional growth: /b A place to strengthen both technical depth and professional skills (communication, ownership, stakeholder collaboration). /li libImpactful work: /b Exposure to real‑world client contexts and business challenges where your work has visible impact. /li libCareer growth: /b Real opportunity to grow your autonomy and career growth possibilities. /li libPeople‑oriented culture: /b We value quality, feedback, continuous improvement, and openness, inclusivity and well‑being at work. /li libHybrid work: /b Hybrid way of working and modern collaborative office in Brussels. /li libCompelling advantages: /b Yearly bonus scheme, flexible mobility with possibility for a housing budget, representation and expense allowances. /li /ul /p #J-18808-Ljbffr

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