Data Architect

Experienced Senior Data Architect required to design and deliver modern, scalable and secure data solutions across a range of business environments.

This is an opportunity for a technically strong architect who enjoys combining hands-on technical expertise with solution design, customer engagement and strategic thinking.

Key responsibilities

• Design end-to-end data architectures and modern cloud-based data platforms.
• Translate business requirements into technical architectures, solution designs and implementation roadmaps.
• Lead the design of data lakes, data warehouses, lakehouse platforms and enterprise analytics solutions.
• Define data modelling standards, data integration patterns, ETL/ELT processes and data migration strategies.
• Design and optimise data solutions using Microsoft Azure services, including Azure Data Factory, Azure Data Lake Storage and Azure Synapse Analytics.
• Evaluate and implement technologies such as Microsoft Fabric and Azure Databricks where appropriate.
• Establish data governance, security, quality, lineage and access-control standards.
• Work closely with data engineers, BI developers, cloud architects and delivery teams to ensure successful implementation.
• Produce high-level and low-level design documentation, architecture diagrams and technical specifications.
• Engage with customers and senior stakeholders to explain architectural decisions and recommend appropriate solutions.
• Support pre-sales activities, technical workshops, estimates and solution proposals where required.

Essential experience and skills

• Significant experience in data architecture, data engineering or enterprise data platform design.
• Strong Microsoft Azure data ecosystem experience.
• Experience with data integration, ETL/ELT, data warehousing and cloud-based data platforms.
• Excellent SQL and data modelling skills, including dimensional modelling and star schemas.
• Understanding of modern data lakehouse architectures and distributed data processing.
• Experience with data governance, data quality, security and regulatory considerations.
• Ability to translate complex business requirements into robust technical solutions.
• Strong communication, stakeholder management and documentation skills.
• Experience delivering technology projects in a customer-facing or consultancy environment.