Design and govern enterprise-scale data architecture on Snowflake, with a focus on AI-ready infrastructure, cross-cloud data pipelines, and robust data modelling standards. Drive governance, security, and cost optimisation across the platform while establishing formal data contracts and supporting LLM-integrated applications through vector and RAG-ready data structures.
This role involves designing and governing the Snowflake data platform, including data warehousing, cross-cloud orchestration, and AI readiness. Responsibilities include defining data modelling standards, implementing secure data pipelines, and creating data contracts with business analysts.
The Data Architect will define and evolve the global data architecture for a multinational entertainment business, ensuring consistency and trust in data used for commercial decision-making. This role involves designing data models, contracts, and governance frameworks across marketing, finance, and operations, with a strong focus on privacy, security, and cross-border compliance. The architect will collaborate with engineering, analytics, and business teams to enable scalable access to data for AI, ML, and analytics in a cloud-native environment.
Lead the development and strategy of a modern data platform using Snowflake as a core component, designing scalable data pipelines, ETL/ELT processes, and data models. Drive analytics through Power BI, improve data governance, and translate business needs into technical solutions while mentoring a growing team. Play a key role in shaping the future architecture and best practices of the data function within a care and education organisation.
This role involves designing and developing conceptual, logical, and physical data models for enterprise data platforms within a modern cloud environment. The Data Modeller will apply dimensional modelling techniques like Kimball or Data Vault, collaborate with data engineers and governance teams, and help shape data architecture standards. Working with tools such as Microsoft Fabric and Databricks, the individual will support multiple projects and contribute to long-term data strategy.
Lead the technical delivery of AI and machine learning solutions from concept to production, ensuring high engineering standards and robust MLOps practices. Drive architectural decisions, mentor data scientists and AI engineers, and support the development of generative AI capabilities using Azure AI services and RAG architectures. Operate as a hands-on technical leader while deputising for the Head of Data Science & AI Delivery.
DATA ARCHITECTup to £65,000 + BENEFITSLondon (Hybrid)This is a great opportunity to join a purpose-driven organisation where you can take ownership of enterprise data architecture and shape how data is structured, governed and leveraged across the business.THE COMPANY:This a UK...
Data ArchitectSalary: Up to£72,000, based on skills and experienceContract Type: Permanent– 35 hours a weekLocation: Hybrid working (office based in Birmingham) – typically 2 days in the office per weekClosing Date: 01/09/26Shape Brighter Futures with WesleyanEstablished in 1841, Wesleyan help...
The Data Architect role involves defining and implementing technical data architecture patterns for a major data transformation programme. Responsibilities include working with data and platform engineers to create buildable solutions for data ingestion, processing, storage, integration, and consumption, ensuring security, data quality, and operational support.
The Senior Solutions Engineer role involves leading technical engagements with customers, designing solutions, and delivering platform demonstrations. Responsibilities include building proofs-of-concept, managing technical relationships, and developing strategies to expand Databricks platform usage.
Lead the design and implementation of production-grade data and AI solutions for strategic customers using the Databricks platform. Embed with client teams to understand technical challenges, build end-to-end systems, and deliver scalable architectures combining data engineering, ML/AI integration, and application development. Contribute reusable frameworks and influence product direction through customer-driven insights.
Design and build scalable AI data pipelines and cloud-native services, productionising machine learning and NLP models into reliable systems. Collaborate with data scientists and engineers to deliver intelligent solutions using modern MLOps practices. Mentor junior engineers and influence technical standards in a growing AI team.
As an AI Deployment Engineer, you will be responsible for building and maintaining the data infrastructure that supports AI deployments, integrating AI solutions into existing business systems, and ensuring the reliability and scalability of deployed AI solutions. You will work closely with AI Deployment Strategists to take prototypes to production and manage the technical backbone of the company's AI tooling.
This role involves owning the data infrastructure for AI deployments, integrating AI solutions into existing business systems, and ensuring reliable and scalable production-grade pipelines. You will work closely with AI strategists to build and maintain the technical backbone that supports AI tooling, including data pipelines, APIs, and system integrations.
This role involves embedding with client teams to understand their commercial problems and build custom tooling to solve them. Responsibilities include data engineering, simulation, and dashboard development, with a focus on client relationship management and technical leadership.
