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5 дней назад

Senior Solution Architect (Data & Analytics)

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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Описание вакансии

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TL;DR
Senior Solution Architect (Data & Analytics): Designing enterprise data architectures, cloud data strategies, and end-to-end solutions across data platforms, warehousing, analytics, and MDM with an accent on governance, data modelling, and scalable decision-making. Focus on translating business requirements into architectural solutions, guiding delivery teams, and ensuring integration, reliability, and long-term maintainability.

Location: Grimbergen, Belgium; Brussels

Company

hirify.global is an international data, analytics, and AI consulting group with 2,800 consultants and experts across 28 countries, helping organizations industrialize AI and build intelligent enterprise systems.

What you will do

  • Define data architecture strategies aligned with client business objectives.
  • Design end-to-end architectures across data platforms, data warehousing, analytics, and MDM.
  • Build conceptual, logical, and physical data models for enterprise analytics and reporting.
  • Translate business requirements into scalable architectural solutions and define architecture standards, frameworks, and governance models.
  • Design cloud data strategies, including migrations to Azure or AWS, and align integration, modelling, and consumption layers.
  • Guide delivery teams, data governance, metadata management, data quality, and architectural consistency across projects.

Requirements

  • Bachelor’s or Master’s degree in IT, Computer Science, or a related field.
  • 5+ years of experience in solution architecture or advanced data engineering / BI roles.
  • Proven experience designing enterprise-level data architectures.
  • Professional working proficiency in Dutch and English.
  • Strong expertise in conceptual, logical, and physical data modelling.
  • Experience with data warehousing, big data, analytics architectures, cloud data platforms, ETL tools, and data integration patterns.
  • Knowledge of MDM, metadata management, data governance, architectural frameworks such as TOGAF, data virtualization, and logical data warehousing.
  • Broad awareness of the data and analytics technology landscape.

Nice to have

  • Experience in large-scale transformation programs.
  • Exposure to AI or advanced analytics architectures.
  • Experience in multi-cloud or hybrid environments.

Culture & Benefits

  • Impactful Data & Digital projects in an AI-driven environment.
  • Digital learning platform with more than 30,000 courses, in-house training, and a dedicated training budget.
  • Dedicated coaching, regular check-ins, expert communities, and continuous development support.
  • Mobility budget or car with fuel or charging, daily and monthly net allowances, eco vouchers, hospitalisation and group insurance, and a flexible bonus scheme.
  • Culture centered on collective intelligence, reliability, pragmatism, entrepreneurial spirit, ownership, and open feedback.

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