Role: Data Solution Architect
Location:2630 Aartselaar, Belgium
Contract duration: 12 months
Languages: Dutch and English
Work modality: Hybrid
Job description:
Are you the architect who creates order in the enormous data flow and converts it into strategic value? As a Senior Data Solution Architect, you will be one of the driving forces behind our transition to a data-driven enterprise. Not only will you build a robust data foundation, but you'll also design the infrastructure for our next generation of AI applications and Large Language Models (LLMs).
What will you do?
* Enterprise Data Governance: You design and support an overarching governance framework that focuses on data quality, lineage, and compliance.
* Data Product Delivery: You transform raw data into scalable Data Products. You are responsible for the entire design, from access to the presentation layer.
* AI & LLM Implementation: You prepare our data landscape for advanced AI. This includes the selection, integration, and fine-tuning of Large Language Models (LLMs) and their associated vector databases.
* Unstructured Data & Classification: You implement solutions for the automatic classification and processing of unstructured data (such as documents and emails) to make it usable for analytics and AI.
* Strategic Advice: You are the discussion partner for both IT teams and the business and translate complex business needs into future-proof technical architectures.
Required competencies
* Expertise: You have 5 years of proven experience in designing Enterprise Data Platforms, of which at least 3 years specifically for the Azure cloud platform. You are familiar with modern cloud-native solutions and have the knowledge and experience to modernize existing data pipelines and workloads towards technologies such as Databricks Lakeflow, dbt or Microsoft Fabric. You will understand the architectural impact of such migrations and guide teams in selecting, designing and implementing these new components within the broader Enterprise Data Platform. In doing so, you actively participate in drawing up guidelines, best practices and reference architectures, and monitor compliance within the teams and projects.
* AI-Native: You will understand the architectural requirements for AI, such as RAG (Retrieval-Augmented Generation) and data preprocessing for model training.
* Governance Mindset: Experience with data cataloging and classification tools (such as Microsoft Purview, Collibra, dScribe, or Informatica) is a must.
* Communicator: You can convincingly present complex concepts to stakeholders at different levels. You work smoothly with colleagues across different departments. You function within the agile SAFe planning data and you deal proactively and communicatively with changing and/or overlapping priorities.
* Experience with our stack is definitely a plus... Azure Cloud Data Platform (Azure Data Factory and Databricks) integrate with SAP S/4HANA (Data Sphere), SAP SuccessFactors, IBM AS400 and IBM Maximo and SaaS platforms such as Power BI and SharePoint.
* Security by Design: is key as we are NIS2 compliant as an organization, which means that both the data architecture and the development process
* fully complies with the required security guidelines. Experience with test automation and strengthening our quality monitoring is an important added value.
Skills
* Artificial intelligence (AI)
* Azure cloud platform
* Azure Data Factory
* Big Data
* Data & Services Architecture
* Data Architecture
* Data Governance
* Databricks
* Python
* Sparx Enterprise Architect