About this role
Salary: £49,000 - 77,000 per year
Requirements: Deep knowledge of the Azure data stack, including Azure SQL Server, Cosmos DB, Azure Data Factory, Purview, Synapse, Event Hub, and Azure Databricks/FabricExtensive data modelling experience across both normalised relational models and de-normalised star schema/dimensional modelsStrong relational database design skills, including diagnosing and optimising performance across SQL Server, PostgreSQL, and cloud databasesProven track record delivering complex data migration projects involving terabyte-plus datasets, multiple legacy source systems, and structured and unstructured dataProficiency with Parquet, Delta Lake, or other modern data storage formatsExperience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processingKnowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores, and MLOps pipelinesExperience processing and managing unstructured data types such as text, images, logs, and sensor dataUnderstanding of Lambda and Kappa architectural patterns and when to apply eachUK Security Vetting clearance required, with SC as the minimum standard; willingness to undergo DV clearance is beneficialAbility to complete BPSS onboarding requirementsExposure to high-performing, low-latency, or large-volume data systems is desirableKnowledge of Government Digital Service practices across Discovery, Alpha, Beta, and Live phases is desirableExperience with Infrastructure as Code and modern DevOps practices is desirableAwareness of advances in AI technologies, data services, and architectural practices is desirableIndustry specialisation in sectors such as Engineering, Manufacturing, or Healthcare is desirablePublic sector or defence experience is desirableExperience with modern unified data platforms like Databricks or Microsoft Fabric is desirableUnderstanding of data mesh or data fabric architectural approaches is desirableRelevant certifications such as TOGAF 9, CDMP, or Microsoft Certified: Azure Solutions Architect Expert (AZ-305) are desirable Responsibilities: Advocate the business benefit of data standards and govern those standards across projects and the organisationDefine patterns, standards, policies, roadmaps, and vision statements based on a broad understanding of business issues and activitiesMake and guide effective decisions, clearly explaining how decisions are reached and resolving technical disputes of varying complexity and riskCommunicate complex technical information across organisational, technical, and political boundaries in a way that is accessible to non-technical audiencesDesign how to expose data from systems through APIs and real-time streams, link data from multiple systems, and deliver modern data servicesEnsure deployment risks are understood and documentedDesign end-to-end data solutions from requirements through implementation, including technical documentation and architecture blueprintsLead complex data migration projects from legacy systems to modern cloud-native platformsEvaluate and recommend appropriate technologies across the modern data stack to meet client needsMentor junior team members and collaborate with data engineers, software engineers, data scientists, and business stakeholdersEnable transformative business decisions through robust, scalable data architecturesDrive adoption of modern data platforms and AI-enabled analytics solutionsEstablish technical standards and architectural patterns that ensure quality, security, and maintainabilityHelp cultivate a data-driven culture within client organisations and internallyDeliver architectures that integrate traditional and modern data systems Technologies: AILambdaArchitectAzureCloudCosmos DBDatabricksDevOpsFabricKafkaMLOpsPostgreSQLSQLSecurityTOGAF More:
We are Methods Analytics (MA), and we are recruiting for a permanent Data Architect role on a mainly remote basis, with flexibility to travel to client sites and our offices in London, Sheffield, and Bristol. We exist to improve society by helping people make better decisions with data. We combine passionate people, sector-specific insight, and technical excellence to provide our customers with an end-to-end data service. We use a collaborative, creative, and user-centric approach to solve difficult problems, and we value discussion, debate, ethics, privacy, and quality. We offer autonomy to develop your skills, exciting project work that makes a difference in society, strong leadership, and a supportive, collaborative environment, alongside benefits including a technical hackathon, community of practice events, team-building days, learning access, volunteering days, private medical and travel insurance, bonus, life assurance, generous annual leave, pension, employee assistance, and social activities.
last updated 36 week of 2026