Azure Data Architect

Data Architect required to lead the development of our clients enterprise data platform infrastructure and engineering frameworks.

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, PySpark, SQL.
• Experience with AI/ML workflows, data governance, ETL/ELT design, metadata management.
• Familiarity with Power BI, Azure DevOps, GitHub, CI/CD pipelines.
• Certifications in Azure Architecture and Databricks preferred.

Interviews: end of January for a February 2026 start.