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7 дней назад

Data Architect (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Belgium
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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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

hirify.global, 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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