A quick look at the role As a Data Architect, you will play a critical role in designing, developing, and maintaining our data architecture, with a focus on supporting our existing ERP replacement transformation programme. This position requires a deep understanding of data management principles, database technologies, and a strategic mindset to align data initiatives with overall business goals. The Data Architect will collaborate with cross-functional teams, including architects, engineers, analysts, and business stakeholders, to ensure that data solutions meet our requirements for scalability, security, and performance.
Your core responsibilities Develop and implement a comprehensive data architecture strategy that supports overall business strategy (including Master Data Management strategy). Own the design, delivery, and management of 'data-as-an-asset' at Biffa, a major strategy for the business; across all data aspects of the tech stack, that can become a revenue-generating part of the business. Create diagrams that show key data entities and create an inventory of the data needed to implement solutions. Perform architecture and technology evaluations of new solutions. Own the design, implementation, and management of Biffa's data architecture, including master data management, data lake, multi-tier data warehouse, data mart structures, data standards, tools, technologies, and best practices. Design scalable and efficient data models, databases, and data integration solutions. Collaborate with solution architects to integrate data architecture with overall system architecture. Work closely in partnership with partner organisations to support the delivery of the programs that align with our data strategy. Our essential requirements Hands-on experience designing and managing a complex data platform at a medium or larger sized organisation. Exceptional ability to understand highly complex technical processes and communicate them clearly to non-technical stakeholders. Experience with MDM/RDM toolsets and associated architecture solutions. Extensive experience architecting scalable data systems in a cloud environment, able to make recommendations on approach and technology covering Data Warehousing, Data Lakes, and Management Information. Hands-on development experience using common technologies and approaches such as SQL Server, Postgres, Python, JVM-based languages, Spark/DataBricks, and CI/CD pipelines.
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