Data Architect

About the role

We are a fast‑growing SaaS company looking for a Data Architect to shape the data foundation of our cloud‑native platform. You will design and maintain end‑to‑end data solutions that support product analytics, customer insights, reporting, and future AI initiatives.

Key responsibilities

• Design and maintain the company’s end‑to‑end data architecture for multi‑tenant SaaS environments.
• Develop scalable data models, warehouses, and lakehouse solutions on cloud platforms.
• Architect and optimise ETL/ELT pipelines integrating application databases, customer platforms, third‑party APIs, and business systems.
• Establish data governance, quality, security, and lifecycle‑management standards.
• Collaborate with Product, Engineering, Customer Success, and Leadership to translate business needs into data solutions.

Required profile

• 5+ years of experience in Data Architecture, Data Engineering, or Analytics Engineering.
• Proven experience designing and scaling data platforms in SaaS or cloud‑native environments.
• Strong understanding of dimensional modelling and modern analytical architectures.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Expertise in SQL and handling large‑scale transactional and customer datasets.

Required skills

• Azure
• AWS
• GCP
• SQL
• Data modelling (including dimensional modelling)
• Data warehousing
• Data lakes
• ETL/ELT frameworks
• Databricks
• Snowflake
• Microsoft Fabric
• BigQuery
• Redshift
• Kafka
• Event Hub
• Kinesis
• Power BI
• Looker
• Tableau
• dbt

What we offer

• Hybrid working setup with offices in Ghent.
• Opportunity to influence the architecture of a rapidly growing SaaS platform.
• Ownership of key technical decisions and long‑term data strategy.
• Competitive salary package, company car or mobility budget, and 12+ ADV days.
• Clear progression path toward Lead Data Architect, Head of Data, or Enterprise Architect roles.
• Collaborative, product‑focused culture emphasizing innovation and technical excellence.