{"id":1464642,"url":"https://alion.io/job/arhs-group-data-architect","title":"Data Architect","company":{"id":54633,"name":"Arhs Group","domain":"arhs-group.com","url":"https://alion.io/company/ares-group","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"A","score":86,"open_postings":9,"ghost_share":0,"stale_share":0.556,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brussels, Belgium"],"countries":["BE"],"hiring_countries":["BE"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":85000,"max_usd":201000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":468},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Data Vault","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Oracle","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-28T13:41:23Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-09-30T20:47:48Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Arηs 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.\nArηs Group was acquired by Accenture in July 2024.\n Arηs 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.\nContext\nThe 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.\nThe 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.\nRole & responsibilities\nLeading 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.\nTranslating business and migration requirements into technical specifications and target data architectures supporting immediate operational needs and longer-term evolution.\nAnalyzing the existing BI/DWH architecture, databases, data models, ETL processes, integrations, reports and dashboards to identify dependencies, gaps, migration constraints and technical risks.\nDesigning the target architecture and migration approach, including transition scenarios, data mappings, dependencies, sequencing, validation, cutover and, where relevant, coexistence of existing and target solutions.\nPreparing and supporting technical proofs of concept to validate proposed solutions against representative client use cases and data.\nPreparing 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.\nDesigning data integration solutions using ETL/ELT processes and tools, and developing or adapting jobs and pipelines required for migration and operational needs.\nCreating, adapting and optimizing conceptual, logical and physical data models supporting existing and target environments.\nPerforming 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.\nMaintaining and improving technical and business metadata, data lineage and documentation to support accuracy, traceability, integration and reuse.\nImplementing data profiling, validation and cleansing processes to ensure data accuracy, consistency and reliability.\nContributing to data governance practices, including data quality, lineage, access controls, metadata and data cataloguing, in alignment with client standards and services.\nWorking closely with business users, data engineers, BI and AI specialists and other technical teams to ensure that data architectures meet operational and emerging needs.\nContributing 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.\nAssessing 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.\nSharing 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.\nStaying abreast of relevant developments in data platforms, integration, analytics and AI-related data architecture, and assessing their practical applicability to the client.\n Your profile\nUniversity degree (EQF 6: Bachelor's level or equivalent).\nMinimum 12 years of professional IT experience.\nCapacity to leverage storytelling in data architecture communications.\nAbility to synthesize long-term business objectives with technical feasibility to guide project vision and validate architectural decisions.\nAbility to understand, speak and write English\nKnowledge of French would be considered an asset.\nAbility to work in a team as well as autonomously.\nAbility to participate in multilingual meetings.\nExcellent interpersonal and communication skills.\nResults-oriented mindset, focused on delivering.\nTechnical skills\nMinimum 2 years’ experience in enterprise data architecture and platform assessment, including BI, data and integration environments.\nMinimum 2 years hands-on with enterprise relational databases/DWH, including SQL analysis, troubleshooting and performance optimization.\nMinimum 2 years hands-on with ETL/ELT and data integration tools, developing, adapting and troubleshooting pipelines.\nMinimum 2 years applying data modelling across conceptual, logical and physical layers, including 3NF, Data Vault, dimensional/star-schema approaches.\nMinimum 1 year involved in enterprise data/BI/DWH migrations.\nStrong experience in assessing data, data integration/ETL and reporting/BI platforms against concrete business and technical requirements, including analysis of functional fit, architecture, interoperability, performance, scalability, security, migration complexity and operational constraints.\nProven experience in designing, preparing and supporting migrations of enterprise data and BI/DWH environments, including assessment of existing architectures, dependencies and interfaces; definition of target architectures and transition scenarios; data mapping; migration sequencing; validation, cutover and coexistence strategies.\nStrong hands-on experience with enterprise relational database and data warehouse environments, in particular SQL-based systems, including database-level analysis, troubleshooting, performance optimisation and data migration. Experience with Oracle environments is particularly relevant.\nStrong knowledge and practical experience with data integration patterns and tools, including ETL/ELT, data transformation, orchestration and batch-processing pipelines. Ability to analyse, develop, adapt and troubleshoot ETL/ELT processes directly is required.\nStrong knowledge of data modelling approaches, including relational/3NF and dimensional/star-schema modelling, and practical experience in creating and adapting conceptual, logical and physical data models for operational, analytical and migration purposes.\nExperience with enterprise BI and reporting architectures, including the data models, semantic/metrics layers and interfaces supporting dashboards and corporate reporting solutions. Experience with migration between BI/reporting platforms is an advantage.\nKnowledge of modern data platform and warehouse/lakehouse architectures and the ability to assess their applicability and migration implications in an enterprise environment, including interoperability with existing relational databases, data warehouses, ETL processes and BI solutions.\nExperience with relational data stores and knowledge of alternative data representations and stores, including NoSQL and graph-based approaches, with an understanding of when these provide concrete value.\nKnowledge of metadata management, data lineage, cataloguing, master/reference data and data quality practices, and their application to reliable integration, migration, traceability and reuse of enterprise data.\nExperience with data profiling, validation, reconciliation and quality controls, particularly in the context of data transformation and migration, to ensure completeness, consistency and integrity between source and target environments.\nUnderstanding of privacy, security and compliance requirements applicable to enterprise data platforms, including access control, encryption, data residency, backup/recovery and business-continuity considerations.\nKnowledge of API and interoperability standards and approaches for data access and system integration, including SQL and REST-based interfaces.\nExperience with DataOps and software-engineering practices relevant to data platforms, including version control, automated testing, deployment and environment promotion.\nKnowledge of enterprise data architecture methods, standards and documentation practices, with the ability to apply them pragmatically and proportionately rather than as an end in themselves.\nUnderstanding of the requirements for making structured and unstructured enterprise data suitable for AI and agentic use, including stable identifiers, entities and relationships, metadata, provenance and machine-usable semantic representations.\nKnowledge of semantic modelling, knowledge graphs and ontology-based approaches is an advantage, particularly where these can complement traditional relational and analytical data architectures and support AI use cases.\nAbility to work effectively across business, BI/DWH, data engineering and AI teams, translating between business requirements and technical implementation while contributing directly to practical technical work.\nCertificates and standards:\nMandatory: One of the following or an equivalent certification: TOGAF, CDMP, DAMA-DMBoK, and ISO data governance standards.\n WHAT´S IN IT FOR YOU?\nWe value your contribution, which is why we offer a competitive and attractive salary package.\nYour wellbeing is our priority - from day one, you are covered by a comprehensive health insurance plan.\nBenefit from a convenient meal allowance provided through a ticket restaurant card.\nTake part in impactful projects that make a difference at both the national and European level.\nContinue to grow with us through in-house training sessions and a wide range of online learning opportunities.\nJoin a collaborative culture where we regularly celebrate achievements and milestones together.","description_format":"text","description_chars":10677,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"French","level":"All levels","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":["Health insurance"],"hiring_locations":[{"name":"Belgium","iso":"BE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Government","IT Consulting & Digital Transformation","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-29T14:21:45Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":49,"reasons":["conf:8","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/arhs-group-data-architect","json_url":"https://alion.io/job/arhs-group-data-architect.json","meta":{"generated_at":"2026-10-01T09:40:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":383,"day_limit":5000,"remaining_today":4617,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}