Senior Data Solutions Architect

1. Company Description

Our client is driving an ambitious, organization-wide digital transformation program aimed at modernizing its digital and data infrastructure to support more efficient, sustainable water management.

With access to a rich and diverse data landscape — including wastewater analysis, flow measurements, energy consumption, and asset data — the organization leverages innovative data solutions to optimize infrastructure and long-term investment decisions.

2. Job Description

As a Senior Data Solution Architect, you will play a key role in the transition toward a data-driven enterprise.

You will design and strengthen a robust enterprise data foundation while preparing the architecture for next-generation AI applications and Large Language Models (LLMs). You bring structure to complex data flows and translate them into strategic business value.

Ready to design data solutions that contribute to a more sustainable future? Read on.

3. Key Responsibilities

• Design and support an enterprise-wide data governance framework ensuring quality, lineage, compliance, and transparency
• Architect scalable, reusable data products from ingestion to presentation layer
• Prepare and evolve the data landscape to support AI use cases, including LLM integration and vector databases
• Implement solutions for automated classification and processing of structured and unstructured data
• Act as strategic advisor to IT and business stakeholders, translating complex needs into future-proof data architectures

4. Profile & Competencies

Must-Have

• Minimum 5 years of experience designing Enterprise Data Platforms and 3+ years hands-on Azure Cloud experience
• Strong expertise in modern cloud-native data solutions (e.g., Databricks, dbt, Microsoft Fabric) and pipeline modernization
• Proven experience defining data governance frameworks, best practices, and reference architectures
• Understanding of AI architecture patterns (e.g., RAG) and data preparation for AI/LLM use cases
• Strong stakeholder communication skills and experience working in Agile/SAFe environments

Nice-to-Have

• Experience integrating Azure data platforms with SAP (S/4HANA, Data Sphere, SuccessFactors), IBM AS400, IBM Maximo, or SaaS platforms (Power BI, SharePoint)
• Hands-on experience with data cataloging and classification tools (Microsoft Purview, Collibra, Informatica, dScribe)
• Experience in NIS2-compliant or security-by-design environments
• Knowledge of test automation and quality assurance processes

Languages

• Dutch: Professional proficiency
• English: Professional proficiency

5. Offer

• Strategic role within a large-scale digital transformation program
• Opportunity to design next-generation enterprise data and AI foundations
• Strong impact on sustainability-driven infrastructure and decision-making
• Cross-functional collaboration in an innovation-driven data environment

(Financial details available upon request.)

6. Call To Action

Ready to architect the data foundation that powers sustainable innovation and AI-driven decision-making?

Apply now and help shape the future of data-driven water management.