Data Architect

pArηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. /p pArηs Group was acquired by Accenture in July 2024. /p h3Job Description /h3 pArηs Group, part of Accenture, is looking for a Data Architect to support the strategic transformation of a client’s data and analytics landscape within the EU institutions in Brussels. /p pbContext /b /p pThe objective is to assess and modernize existing Business Intelligence (BI), Data Warehouse (DWH), data integration, and reporting environments while preparing a roadmap towards future data platforms and AI-ready data architectures. The environment is international, multicultural, and highly collaborative, requiring strong technical expertise, professionalism, and attention to data governance and quality. /p pThe Data Architect will play a key role in evaluating current data ecosystems, defining target architectures, supporting migration initiatives, and improving data quality, metadata management, and integration capabilities across the organization. /p pbRole responsibilities /b /p ul liLeading the technical assessment of corporate sovereign data, ETL/integration and reporting/dashboarding platforms proposed against the client’s business requirements, data landscape, technical specificities, performance, scalability, security and integration needs. /li liTranslating business and migration requirements into technical specifications and target data architectures supporting immediate operational needs and longer-term evolution. /li liAnalyzing the existing BI/DWH architecture, databases, data models, ETL processes, integrations, reports and dashboards to identify dependencies, gaps, migration constraints and technical risks. /li liDesigning the target architecture and migration approach, including transition scenarios, data mappings, dependencies, sequencing, validation, cutover and, where relevant, coexistence of existing and target solutions. /li liPreparing and supporting technical proofs of concept to validate proposed solutions against representative client use cases and data. /li liPreparing and monitoring the technical implementation of migrations, working closely with the BI/DWH team and corporate service providers to ensure data integrity, service continuity and successful transition. /li liDesigning data integration solutions using ETL/ELT processes and tools, and developing or adapting jobs and pipelines required for migration and operational needs. /li liCreating, adapting and optimizing conceptual, logical and physical data models supporting existing and target environments. /li liPerforming hands‑on technical work when required, including database‑level analysis, SQL, data profiling and mapping, ETL/ELT development, troubleshooting, validation, optimization and migration, monitoring and optimizing data systems, databases and pipelines for performance, scalability and reliability. /li liMaintaining and improving technical and business metadata, data lineage and documentation to support accuracy, traceability, integration and reuse. /li liImplementing data profiling, validation and cleansing processes to ensure data accuracy, consistency and reliability. /li liContributing to data governance practices, including data quality, lineage, access controls, metadata and data cataloguing, in alignment with client standards and services. /li liWorking closely with business users, data engineers, BI and AI specialists and other technical teams to ensure that data architectures meet operational and emerging needs. /li liContributing to making the client’s data increasingly suitable for AI and agentic use through appropriate data structures, identifiers, relationships, metadata, provenance and other machine‑usable representations, while ensuring compatibility with established BI and data‑management needs. /li liAssessing and, where relevant, prototyping modern data‑management technologies and approaches, including SQL/NoSQL databases and semantic or graph‑based representations, where they provide concrete value for the client’s use cases. /li liSharing expertise and promoting good practices, standards and tools across the BI/DWH, data and AI teams, while contributing actively as a hands‑on team member. /li liStaying abreast of relevant developments in data platforms, integration, analytics and AI‑related data architecture, and assessing their practical applicability to the client. /li /ul h3Qualifications /h3 pbYour profile /b /p ul liUniversity degree (EQF 6: Bachelor's level or equivalent). /li liMinimum 12 years of professional IT experience. /li liCapacity to leverage storytelling