Department Description And Responsibilities
Our Information Services department is in the middle of an exciting transformation. We're moving away from traditional, siloed data warehouses toward a domain-driven, data product architecture: data mesh principles on a modern Databricks stack with dbt and Unity Catalog. The goal is to empower each Business Unit to own and build their data products, while keeping the overall landscape coherent and governed. It's a balancing act between local autonomy and enterprise-wide harmonization, and that's exactly where you come in.
Role Description
As our Data Solutions Architect, you'll be the person who makes our data architecture work in practice. You'll sit with BU teams, help them model their domains, design solid data products, and unlock real analytical and AI-driven value. You'll bridge our central architecture vision and what actually ships.
Concretely, you'll be the go-to architect for teams building on our platform, helping them get data modeling right, navigate governance, and push the boundaries of what's possible with analytics and AI.
Primary Tasks And Responsibilities
Be the trusted point of contact for BU data teams adopting the platform and building data products
Turn architecture standards into practical guidelines, reusable templates, and reference data models that teams can actually use
Work hands‑on with teams to design and implement data products on Databricks using Python and dbt, with a sharp eye on data modeling, governance, and security
Guide teams in building analytical solutions (Power BI, custom front-ends) and help them explore AI/ML use cases on top of the platform
Challenge and sharpen our architecture principles based on what you learn in the field. Your feedback shapes the framework
Support migrations from legacy systems (TimeXtender) to the new platform
Spot common patterns, recurring pain points, and opportunities to make the platform better for everyone
Technical Profile Requirements
4+ years of experience as a data engineer, analytics engineer, or data/solution architect
Strong understanding of data modeling techniques (dimensional modeling, Data Vault, or similar) and data governance principles
Solid hands‑on skills with Python, dbt, and Databricks (or equivalent data transformation frameworks)
Experience designing analytical solutions in Power BI or similar BI tools, and ideally with custom front-ends (Streamlit, Dash, Voila, ...)
Hands‑on exposure to Machine Learning workflows (MLflow, model serving) and/or Generative AI applications (agent‑based architectures, RAG, MCP servers)
Track record in large‑scale analytics environments. Manufacturing or similar sector, global context preferred
Familiarity with cloud data architectures and data platform migrations
SAP data extraction experience (BW or alternative) or other enterprise applications is a strong plus
Non‑Technical Profile Requirements
A strong communicator who can work with both business stakeholders and deep technical teams, and translate fluently between the two
Proactive, hands‑on, and solution‑oriented. You would rather prototype than theorize
Comfortable navigating complexity: multiple stakeholders, competing priorities, ambiguity
An agile mindset. You build to scale but you're willing to fail fast and learn faster
Methodology/Certification Requirements
Databricks Data Engineer Associate (or Professional)
dbt Analytics Engineering Certification
Azure Data Engineer Associate or Azure Solutions Architect Expert
Language Proficiencies
English: Fluent (spoken and written)
Dutch and/or French: a plus
Location
Main location: Brussels, with occasional presence in Hoboken and Olen
What We Offer
We aim to lead the way. Not just for our customers, but for our employees too. That is why we strive to create a collaborative environment in which we can all succeed. We will also reward your contribution with a competitive salary and benefits.
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