Data Architect

The Company Location: Northeast or LondonType: Permanent | HybridNigel Wright Tech are delighted to be partnering with a large B2C service organisation in their search for a Data Architect. You will be responsible for defining and maintaining the overall data architecture strategy that enables the company's BI and self-serve analytics capabilities. The role will establish the technical vision, standards and frameworks that enable scalable, efficient and secure data solutions across the organisation. The Role Key responsibilities: 

• Conduct comprehensive assessment of existing architectures across existing data infrastructure
• Define and maintain the enterprise data architecture vision and roadmap, ensuring alignment with business objectives and the BI product strategy
• Establish architectural patterns and frameworks (such as Medallion architecture, data vault or dimensional modelling) for consistent implementation across data solutions 
• Define and document standard business entities, metrics and KPIs to ensure consistency across reporting 
• Work with Group BI and Data Director to define strategy and frameworks 
• Facilitate architecture discussions and workshops with technical and non-technical stakeholders 

The Requirements This is an exciting role, whereby you will have strategic input and the opportunity to work on major greenfield projects across the organisations data estate. Key requirements include: 

• Extensive experience in data architecture, with proven track record of designing and implementing enterprise-scale data solutions 
• Deep expertise in data modelling techniques with strong SQL proficiency 
• Good knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue, knowledge of Azure or GCP beneficial) and modern data engineering patterns including ETL/ELT 
• Experience with data governance frameworks, data quality tools and ensuring compliance with security and regulatory requirements 
• Strong business acumen with ability to translate business requirements into technical architecture and understand how data enables business outcomes