Job Description

Posted 2 weeks ago

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