Data Architect required to lead the development of our clients enterprise data platform infrastructure and engineering frameworks.Read all the information about this opportunity carefully, then use the application button below to send your CV and application.You'll be a key technical leader, shaping our Azure-based data ecosystem, driving AI enablement, and ensuring scalable, secure, and high-performance data solutions across the organisation.Role and Responsibilities: * Lead design and implementation of enterprise data architecture (Azure, Databricks, Data Lake, Data Factory).
* Enable AI/ML workflows and MLOps integration.
* Define engineering standards, governance frameworks, and architectural blueprints.
* Ensure compliance with GDPR and security standards.
* Mentor data engineers and analysts in best practices.To apply you should have the following skills & experience: * Proven experience architecting data platforms on Microsoft Azure (Databricks, Data Lake Storage Gen2, Azure Data Factory).
* Strong knowledge of Lakehouse architecture, Delta Lake, Py Spark, SQL.
* Experience with AI/ML workflows, data governance, ETL/ELT design, metadata management.
* Familiarity with Power BI, Azure Dev Ops, Git Hub, CI/CD pipelines.
xyswxtq * Certifications in Azure Architecture and Databricks preferred.Interviews: end of January for a February 2026 start