Data Architect

il y a 5 jours


Bruxelles, Bruxelles (commune); Bruxelles-Capitale; Région Bruxelles-Capitale, Belgique Hamilton Barnes 🌳 Temps plein
Data Architect We are looking for an experienced Data Architect to support the transformation of a large legacy data environment into a modern, scalable, cloud-based data platform. This role plays a key part in shaping data architecture strategy while working closely with technical and business stakeholders whilst working for a IT consultancy with a European institution

Key Responsibilities
Define, maintain, and evolve a data architecture strategy that supports both Business Intelligence and AI-driven workloads. Design and deliver vendor-neutral cloud architectures aligned with open-source principles. Lead the design of a modern, scalable data platform, replacing a complex legacy system through a phased migration approach. Ensure architectural decisions align with data governance standards and the organisation’s cloud adoption strategy. Establish and oversee data management standards covering data quality, security, monitoring, and platform reliability. Guarantee compliance with regulatory and audit requirements. Provide technical leadership, guidance, and mentoring to data analysts and data engineers. Support change management by guiding users and stakeholders through the migration journey. Produce and maintain detailed documentation of data architecture, platforms, and data assets. Assist with deployment, configuration, validation, and testing activities. Collaborate with other project teams and contribute to cross-functional meetings. Required Skills and Experience Proven experience migrating legacy data platforms to modern cloud-based, open-source solutions, ideally using a Data Lakehouse approach. Strong expertise in designing scalable, flexible cloud data architectures. Hands-on experience leveraging AI-powered assistants such as Amazon Q to support innovative data platform design. Solid understanding of Kubernetes and containerised environments. Experience with relational databases such as PostgreSQL and Oracle, and non-relational technologies including Elasticsearch and MongoDB. Strong background in ETL and ELT pipelines using tools such as Spark, dbt, and Trino. Experience with orchestration tools like Airflow, Dagster, or Luigi. Good knowledge of data governance frameworks and tools, including DataHub or OpenMetadata, as well as data quality, security, access control, and compliance. Experience integrating systems via RESTful APIs. Familiarity with DevSecOps practices and CI/CD pipelines for data platforms. Strong communication skills, able to explain complex data architecture concepts to both technical and non-technical audiences. Experience using data and architecture modelling tools. Contract Details Day Rate: Flexible Length: Long-term Language: English On-site Requirement: 1 to 2 days per week If you are a Data Architect who enjoys working on complex transformation programmes and shaping future-proof data platforms, this is a strong long-term opportunity to make an impact.

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