Values

The ad says“Experience with AI and Generative AI architectures, including RAG patterns, agentic systems, vector databases, MLOps, and LLMOps.”
The ad says“Cloud Platforms: Microsoft Azure (Fabric, Synapse, Data Factory, Purview) and/or AWS (Redshift, Glue, S3)”
The ad says“Governance & Metadata: Collibra and related governance solutions”
The ad says“Familiarity with architectural frameworks such as TOGAF and DAMA-DMBOK.”
The ad says“Experience with modern data architecture concepts such as Data Mesh, Data Products, Data Virtualization, and Logical Data Warehousing.”
The ad says“Experience with modern data architecture concepts such as Data Mesh, Data Products, Data Virtualization, and Logical Data Warehousing.”
The ad says“Experience with modern data architecture concepts such as Data Mesh, Data Products, Data Virtualization, and Logical Data Warehousing.”
The ad says“Data Platforms: Databricks, Snowflake, SAS Viya”
The ad says“Data Integration & Engineering: dbt, Kafka, Confluent, CDC tooling, ETL/ELT frameworks”
The ad says“Professional working proficiency in Dutch and English. French is a strong asset.”
The ad says“Experience with AI and Generative AI architectures, including RAG patterns, agentic systems, vector databases, MLOps, and LLMOps.”
The ad says“Data Integration & Engineering: dbt, Kafka, Confluent, CDC tooling, ETL/ELT frameworks”
The ad says“Experience with AI and Generative AI architectures, including RAG patterns, agentic systems, vector databases, MLOps, and LLMOps.”
The ad says“Experience with modern data architecture concepts such as Data Mesh, Data Products, Data Virtualization, and Logical Data Warehousing.”
The ad says“Cloud Platforms: Microsoft Azure (Fabric, Synapse, Data Factory, Purview) and/or AWS (Redshift, Glue, S3)”
The ad says“Experience with AI and Generative AI architectures, including RAG patterns, agentic systems, vector databases, MLOps, and LLMOps.”
The ad says“Analytics & Visualization: Power BI, Tableau”
The ad says“Programming & Querying: Python, SQL”
The ad says“Experience with AI and Generative AI architectures, including RAG patterns, agentic systems, vector databases, MLOps, and LLMOps.”
The ad says“Data Platforms: Databricks, Snowflake, SAS Viya”
The ad says“Data Platforms: Databricks, Snowflake, SAS Viya”
The ad says“Programming & Querying: Python, SQL”
The ad says“Analytics & Visualization: Power BI, Tableau”
The ad says“Familiarity with architectural frameworks such as TOGAF and DAMA-DMBOK.”
The ad says“Experience with AI and Generative AI architectures, including RAG patterns, agentic systems, vector databases, MLOps, and LLMOps.”

Why Keyrus, Why Now!

Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.

AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, every deployment that compounds on the last.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

What You'll Architect

As a Data Architect, you will shape the data foundations that enable our clients to become truly intelligence-driven organizations. You will design scalable, future-proof data architectures, guide strategic technology decisions, and help clients transform complex business requirements into practical data solutions.

Define target-state data architectures across platform, integration, modelling, and consumption layers, and establish the roadmap to reach them.
Design conceptual, logical, and physical data models that support analytics, reporting, and operational use cases.
Architect modern cloud data platforms on Azure and/or AWS, including lakehouse, real-time integration, streaming, and hybrid architectures.
Evaluate and document key architectural decisions, balancing trade-offs such as build versus buy, batch versus streaming, and centralized versus federated approaches.
Act as a trusted advisor to business and IT stakeholders, translating strategic ambitions and operational constraints into realistic, scalable solutions.
Advise clients on data governance, master data management (MDM), metadata management, and data quality, considering both technology and organizational dimensions.
Contribute to solution design, client workshops, and RFP responses in collaboration with our sales and practice teams.
Guide delivery teams by establishing architectural standards, reviewing designs, and ensuring consistency, scalability, and maintainability across projects.
Mentor consultants and engineers, fostering architectural excellence within the Belgian practice.
Contribute to the continuous evolution of Keyrus reference architectures, methodologies, and accelerators.

Who You Are

You are a strategic thinker with a strong technical foundation and a passion for designing data ecosystems that create business value. You enjoy combining technology, consulting, and stakeholder management, and you are comfortable engaging with both executive decision-makers and technical teams.

You take ownership, communicate complex ideas clearly, and can confidently challenge assumptions while building consensus across diverse stakeholder groups.

What You Bring

Qualifications / Experience

8+ years of experience in data and analytics, including at least 3 years in a Data Architect or Solution Architect role.
Proven experience designing and delivering enterprise-scale data architectures, from strategy through implementation.
Strong expertise in data modelling, from conceptual and logical design to physical implementation.
Experience with ETL/ELT processes and modern data integration patterns, including real-time or event-driven architectures.
Solid understanding of data governance, MDM, metadata management, and data quality frameworks.
Strong communication and presentation skills, with the ability to engage both senior business stakeholders and technical teams.
Professional working proficiency in Dutch and English. French is a strong asset.
Eligibility to work in Belgium.
Bachelor's or Master's degree in Computer Science, Information Technology, or a related discipline, or equivalent professional experience.

Technical Skills

You'll typically encounter technologies such as:

Cloud Platforms: Microsoft Azure (Fabric, Synapse, Data Factory, Purview) and/or AWS (Redshift, Glue, S3)
Data Platforms: Databricks, Snowflake, SAS Viya
Data Integration & Engineering: dbt, Kafka, Confluent, CDC tooling, ETL/ELT frameworks
Governance & Metadata: Collibra and related governance solutions
Analytics & Visualization: Power BI, Tableau
Programming & Querying: Python, SQL

We do not expect expertise in every technology listed above. We value deep expertise in a subset, combined with the architectural judgement to evaluate, integrate, and recommend the right technologies for each client context.

Nice-to-haves

Experience with AI and Generative AI architectures, including RAG patterns, agentic systems, vector databases, MLOps, and LLMOps.
Previous consulting or client-facing delivery experience.
Familiarity with architectural frameworks such as TOGAF and DAMA-DMBOK.
Experience with modern data architecture concepts such as Data Mesh, Data Products, Data Virtualization, and Logical Data Warehousing.
Exposure to multi-cloud environments, hybrid architectures, or large-scale transformation programs.

Rewards - What We Offer at Keyrus

Growth

At Keyrus we have created an environment where people are supported, challenged and connected to the people around them.

Working on impactful Data & Digital projects you will develop a broad and versatile skill set and stay ahead in a fast-evolving, AI-driven landscape.

Our digital learning platform, with over 30,000 courses including in-house trainings developed by our experts, is a perfect way to stay on top of your game

A generous training budget is available to help foster a culture where learning, feedback and continuous improvement is the norm
You will have a dedicated coach, benefit from regular check-ins, learn via different communities and have clear alignment with your team and company goals
We want you to grow with confidence. We therefore place a strong emphasis on ownership, open feedback and continuous development.

When people feel trusted, connected and inspired, they do their best work!

Rewards

Mobility budget? Car with fuel or charging car? We offer both so you can choose!

On top of that we also have daily and monthly net allowances, eco vouchers, hospitalisation (DKV) insurance and group insurance, as well as a generous bonus scheme that you can use on our flexible reward plan.

What We Stand For

Collective Intelligence — Collaboration across expertise, functions, and geographies makes it possible to combine know-how and deliver more comprehensive responses to client challenges.

Reliability — The ability to deliver complex projects with rigour is one of the pillars of our client relationship.

Pragmatism — Prioritising concrete impact and measurable value over abstract technological discourse.

Entrepreneurial Spirit — Curiosity, energy, and freedom are the foundations of our culture; they enable initiative and sustained innovation.

About Keyrus

At Keyrus, we help organizations move from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence. Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalize intelligence.

· Intelligence Foundations,

· Human in Command governance,

· and Performance Steering,

To create intelligent environments where technology amplifies human capabilities and performance compounds over time.

With 30+ years of expertise and 2,800 employees across 28 countries, we help organizations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organizations.

AI does not transform businesses. Architected intelligence does.

#LI-JC1

Asks for

Values