7 дней назад
Data Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Architect (AI): Assessing and modernizing enterprise BI, data warehouse, integration, and reporting environments in support of future data platforms and AI-ready architectures with an accent on data governance, migration planning, data quality, and interoperability. Focus on designing target architectures, building and optimizing ETL/ELT pipelines, validating migrations, and creating machine-usable data structures, metadata, and relationships.
Location: Brussels, Belgium
Company
, part of Accenture, delivers complex public-sector IT projects covering systems integration, analytics, software development, data science, security, machine learning, cloud, and mobile development.
What you will do
- Assess existing BI, data warehouse, database, ETL, integration, reporting, and dashboard environments against business and technical requirements.
- Define target data architectures, migration approaches, transition scenarios, data mappings, sequencing, validation, cutover, and coexistence strategies.
- Design, develop, adapt, and troubleshoot ETL/ELT pipelines, integrations, SQL processes, data models, and migration solutions.
- Perform hands-on database analysis, data profiling, validation, reconciliation, optimization, monitoring, and migration activities.
- Improve metadata, data lineage, cataloguing, data quality, governance, access controls, and technical documentation.
- Collaborate with business users, BI/DWH, data engineering, and AI specialists to prepare enterprise data for AI and agentic use.
Requirements
- University degree at EQF 6 level or equivalent and at least 12 years of professional IT experience.
- At least 2 years of experience in enterprise data architecture, platform assessment, relational databases/DWH, SQL, ETL/ELT, data integration, and data modelling.
- At least 1 year of experience with enterprise data, BI, or DWH migrations.
- Strong knowledge of relational and dimensional modelling, data governance, metadata, lineage, data quality, APIs, interoperability, DataOps, and enterprise architecture methods.
- Practical experience with SQL-based systems; Oracle experience is particularly relevant. Knowledge of NoSQL, graph databases, semantic modelling, and knowledge graphs is also relevant.
- English is required; French is an asset. Ability to participate in multilingual meetings and work independently and collaboratively is expected.
- One of TOGAF, CDMP, DAMA-DMBoK, ISO data governance standards, or an equivalent certification is mandatory.
Culture & Benefits
- Full-time position supporting impactful national and European public-sector projects.
- Comprehensive health insurance from the first day.
- Meal allowance through a ticket restaurant card.
- In-house training and online learning opportunities.
- Collaborative environment with recognition of achievements and milestones.
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