Data Architect

Overview

We’re looking for a Data Architect to design and deliver modern data solutions across an Azure ecosystem. You’ll play a key role in shaping the data strategy, owning the architecture of scalable, secure, and high-performing data platforms that enable advanced analytics and business insights.

Key Responsibilities

• Lead the design and architecture of end-to-end data platforms using Azure services (e.g., Azure Data Lake, Data Factory, Synapse, Fabric, Key Vault).
• Architect and optimise Databricks environments for data engineering & analytics.
• Develop data models, standards, and best practices ensuring data quality, governance, and reliability.
• Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable solutions.
• Oversee data integration, ingestion, and transformation pipelines across batch and streaming workloads.
• Ensure security, compliance, and cost optimisation throughout the data estate.

Skills & Experience

• Strong experience architecting cloud-native data solutions on Microsoft Azure.
• Hands-on expertise with Databricks (Delta Lake, Spark, notebooks, cluster management).
• Deep understanding of data modelling, warehousing, and distributed data processing.
• Experience with Python/SQL for data engineering and solution design.
• Familiarity with CI/CD, DevOps, and Infrastructure-as-Code (Terraform/ARM/Bicep) is beneficial.

If you\’re interested in the opportunity, please apply with your updated CV and contact information.