Data Architect

ph3Overview /h3 pbYour Role In Projects: /b We are looking for Data Engineers who know how to translate complex data issues into scalable, efficient solutions. You will contribute to designing and implementing modern data platforms on Azure with a strong focus on Lakehouse architectures using Databricks and Microsoft Fabric. You will translate business goals into pragmatic data architectures and help teams deliver scalable, secure, and future‑proof solutions. You will join the Data AI team in Belgium, working with colleagues from adesso in the Netherlands and across Europe, helping to build a new practice while benefiting from the knowledge and stability of an established international company. /p pbJob Context /b: adesso Belgium is part of the adesso group, an IT provider with a growth strategy in Europe. The role supports the group’s mission to grow together by attracting talent and enabling growth in customers, industries, and the adessi community in Belgium. /p h3Responsibilities /h3 ul liDefine data architectures roadmaps: design end‑to‑end data architectures on Azure (ingestion, storage, processing, serving, governance). /li liShape Lakehouse/data platform blueprints using technologies such as Azure Databricks, Microsoft Fabric, Azure Data Lake, Azure Synapse, and Azure Data Factory. /li liTranslate business objectives and requirements into architectural roadmaps, target architectures, and transition steps. /li /ul ul liChoose and align technologies: evaluate and position Databricks vs Microsoft Fabric vs other Azure components based on client context and use cases. /li liDefine reference patterns (e.g., medallion architecture, CDC patterns, data sharing, semantic layers) and promote them across projects. /li liCollaborate with cloud architects, security, and domain experts to ensure solutions align with enterprise standards and constraints. /li /ul ul liGuide implementation support teams: work with data engineers, analytics engineers, BI developers and data scientists to realize the architecture; provide guidance on data modeling and data product design. /li liReview solution designs, pipelines and models; help troubleshoot complex issues as needed. /li /ul ul liData governance, security quality: define and promote governance principles (ownership, cataloguing, lineage, metadata, classification); work with security teams to implement secure‑by‑design architectures; advocate data quality and observability practices. /li /ul ul liHands‑on architecture prototyping: stay close to technology by building proofs of concept, reference implementations and accelerators; use tools like Databricks, Fabric Lakehouses, Notebooks, Data Pipelines, Power BI; contribute to internal frameworks and reusable components. /li /ul ul liCommunity pre‑sales: contribute to the Data AI community within adesso (Belgium and Netherlands); support pre‑sales activities, proposals, estimates, client workshops; mentor engineers aspiring to architecture roles. /li /ul h3Required Technical Skills Knowledge /h3 pAzure Databricks, Microsoft Fabric, Power BI, Apache Spark, Azure Synapse, Azure Data Lake, Azure Data Factory, Python, PySpark, SQL /p h3Your profile /h3 pYou don’t need to tick every box, but you should recognize yourself in most of the following: /p h3Technical Architectural Skills /h3 ul liSolid experience designing and implementing data solutions on Azure, with exposure to Databricks and/or Microsoft Fabric. /li liStrong understanding of modern data platform and Lakehouse concepts (medallion architecture, Delta/Parquet, OneLake, Lakehouses, semantic models). /li liStrong data modeling skills for analytics: dimensional modeling / star schema is a must; data vault or 3NF is a plus. /li liHands‑on background in data engineering (SQL, Python/PySpark, ETL/ELT, orchestration) and comfort with technical details. /li liFamiliarity with Power BI or similar analytics tools and how architecture impacts reporting, self‑service BI and semantic models. /li liUnderstanding of CI/CD, DevOps and infrastructure‑as‑code practices (Azure DevOps, GitHub, Terraform/Bicep) in the context of data platforms. /li liKnowledge of data governance, security and compliance in the cloud (RBAC, DLP, lineage, catalog, audit) and how to embed them into architecture. /li /ul h3Consulting Soft Skills /h3 ul liEnjoy working with stakeholders from both business and IT; can challenge and clarify requirements. /li liExplain architectural options, trade‑offs and decisions clearly to diverse audiences. /li liFacilitate workshops and guide teams through architectural choices. /li liProactive, pragmatic and solution‑oriented: balance good architecture with delivery constraints. /li liFluent in French and/or Dutch and English (written and spoken). /li liCurrent residency and work authorization in Belgium; relocation from other continents cannot be accommodated. /li /ul h3The Offer Of The Data AI Team /h3 ul libGrowth learning /b: shaping the Data AI