Senior Big Data Architect

IMPORTANT INFORMATION

Only applications that meet Aquafin's established criteria (skills, work experience, language skills, and availability) for this job posting will be considered. If the above criteria are not met, Aquafin and/or ProUnity reserve the right to reject the application.

About Aquafin

At Aquafin, we connect people with people, with water, and with technology. We stay ahead of change and work towards a living environment in harmony with water. We do this through water purification and sewer systems, but also through innovation and the energy transition.

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Do you design smart data solutions that truly make a difference? As a Data Solution Architect at Aquafin, you'll use your IT expertise to make water treatment more efficient, environmentally friendly, and innovative

Job description

Your team

In a world where data drives innovation, Aquafin offers you a unique opportunity to leverage your IT expertise for a sustainable future. With a wealth of data—from wastewater analyses and flow measurements to energy consumption and asset information—the IT Solutions team plays a key role in smarter management of our infrastructure and investments with innovative IT solutions.

As a Data Solution Architect, you'll participate in an ambitious, company-wide digital program to modernize our digital infrastructure. Your goal? Ensure clear information that leads to cleaner water and a living environment in harmony with water.

Your role

Are you the architect who creates order in the enormous data flow and transforms it into strategic value? As a Senior Data Solution Architect, you'll be a driving force behind our transition to a data-driven enterprise. You'll not only build a robust data foundation but also design the infrastructure for our next-generation AI applications and Large Language Models (LLMs).

What are you going to 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're responsible for the complete design, from discovery to presentation.

AI & LLM Implementation: You will 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 useful for analytics and AI.

Strategic Advice: You are the contact person for both IT teams and the business, translating complex business needs into future-proof technical architectures.

Required competencies

Expertise: You have 5 years of demonstrable experience designing Enterprise Data Platforms, including at least 3 years specifically for the Azure cloud platform. You are familiar with modern cloud-native solutions and possess the knowledge and experience to modernize existing data pipelines and workloads with technologies such as Databricks Lakeflow, dbt, or Microsoft Fabric. You understand the architectural impact of such migrations and guide teams in selecting, designing, and implementing these new components within the broader Enterprise Data Platform. You will actively contribute to developing guidelines, best practices, and reference architectures, and monitor their adherence within teams and projects.

AI-Native: You 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 present complex concepts convincingly to stakeholders at various levels. You collaborate effectively with colleagues across departments. You operate within the agile SAFe planning framework and proactively and communicatively address changing and/or overlapping priorities.

Experience with our stack is definitely a plus... Integrate Azure Cloud Data Platform (Azure Data Factory and Databricks) 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 as an organization are NIS2 compliant, which means both the data architecture and the development process

Fully complies with the required security guidelines. Experience with test automation and strengthening our quality assurance is a significant added value.

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Extraordinary for talent

At Aquafin, we connect people with people, with water, and with technology.

We work towards a living environment in harmony with water and stay ahead of change. We do this through water purification and sewer systems, but also through innovation and the energy transition.

We encourage everyone to apply, regardless of age, gender, background, sexual orientation, disability, etc. We strive to be an accessible and inclusive organization. This means that everyone at Aquafin feels included and valued, precisely because of our differences.

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Roles

Senior Big Data Architect

Skills

Artificial intelligence (AI)

Azure cloud platform

Azure Data Factory

Big Data

Data & Services Architecture

Data Architecture

Data Governance

Databricks

Python

Sparx Enterprise Architect

Languages

Dutch Level Native or bilingual proficiency

English Level Nice to have

Locations