Role Overview
We are looking for a Senior Data Solution Architect to support a large-scale digital transformation program focused on modernizing enterprise data platforms and enabling advanced analytics and AI use cases. The role involves designing robust, secure, and scalable data architectures that transform complex data flows into high-value data products.
Key Responsibilities
Enterprise Data Architecture & Governance
Design and support an enterprise-wide data governance framework covering data quality, lineage, classification, and compliance
Define and maintain architecture standards, best practices, and reference models and ensure alignment across teams
Data Platform & Data Products
Design, modernize, and evolve Enterprise Data Platforms on Microsoft Azure
Convert raw, structured, and unstructured data into scalable data products
Own end-to-end solution design: data ingestion, processing, modeling, and visualization
AI, LLM & Advanced Analytics
Prepare data platforms for AI-native architectures, including Retrieval-Augmented Generation (RAG)
Select, integrate, and support Large Language Models (LLMs) and vector databases
Implement solutions for unstructured data processing and automated classification (documents, emails, etc.)
System Integration
Integrate Azure-based data platforms with enterprise systems and SaaS solutions, including:
SAP S/4HANA / Data Sphere
SAP SuccessFactors
IBM AS400
IBM Maximo
Power BI and SharePoint
Advisory & Collaboration
Act as a technical advisor to business and IT stakeholders
Translate business needs into future-proof technical architectures
Work within an Agile SAFe environment and manage overlapping priorities
Security & Quality
Apply Security by Design principles
Ensure data platforms and development processes meet required security standards
Contribute to test automation and continuous quality improvement
Required Skills & Experience
Technical Expertise
5+ years of experience designing Enterprise Data Platforms
3+ years of hands-on experience with the Azure Cloud Platform
Strong experience with Azure Data Factory, Databricks, Microsoft Fabric, dbt, Databricks Lakeflow
Proficiency in Python
Experience with Sparx Enterprise Architect is a plus
Data Governance & Architecture
Experience with data cataloging and classification tools such as:
Microsoft Purview
Collibra
Informatica
dScribe
AI & Data Engineering
Solid understanding of AI and LLM architecture requirements, including RAG
Experience preparing data for advanced analytics and AI workloads
Communication & Ways of Working
Strong stakeholder communication and presentation skills
Ability to collaborate across departments
Experience working in Agile / SAFe environments
Languages
Dutch: Native or bilingual proficiency (mandatory)
English: Nice to have
Seniority Level
Senior / Expert