2 of 2 Data Architect Jobs in Berkshire

Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. … What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing … solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design More ❯

to your recruiter about the options for this role. Salary: £61,900-£79,100 Dependent of skills and experience What you'll be doing: Build and maintain clear, reliable data models that support consistent, accurate information across the organisation Shape and deliver scalable data architecture that improves how data is shared and stored, aligned to the organisation … s goals Guide database and data integration work, using ETL tools and database systems to ensure quality and ease of access Support and guide the data architecture team, encouraging collaboration, learning and shared success Your skills and experiences: Bachelor's degree (or higher) in Data Science, Information Technology, Computer Science, or a related field Proven experience in … designing and managing data storage, as well as developing and auditing data archiving policies Experience in designing and building data models, including entity-relationship (ER) diagrams and data normalisation techniques Knowledge of database technologies including RDBMS (e.g. Oracle, SQL Server), NoSQL (e.g. MongoDB, Cassandra), and data warehouse solutions Understanding of ETL processes, including data More ❯