Data Architect

Methods

Data Architect designing Azure data platforms and AI-enabled analytics for Methods Analytics, a data services consultancy improving societal decisions. Leading cloud migrations, streaming architectures, data standards, and end-to-end client solutions.

Posted 8/7/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSenior💰 £60,000 - £80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing robust data architectures, leveraging the Azure data stack and modern data storage formats to enable scalable data solutions. Proven ability to lead complex data migrations and mentor teams while ensuring adherence to technical standards and best practices.

Highest-signal resume keywords

Azure Data Stack ExpertiseData Migration Project ManagementData Modelling and Database DesignStreaming Architectures ExperienceSecurity Clearance Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingRelational Database DesignPerformance OptimisationData MigrationStreaming ArchitecturesData Architecture for AI/MLInfrastructure as CodeOperational Log DesignData Exposure through APIsData Processing of Unstructured Data

Soft Skills

Decision-MakingEffective CommunicationMentoringCollaborationProblem-Solving

Tools & Technologies

Azure SQL ServerCosmosDBAzure Data FactoryEvent HubAzure DatabricksKafkaPostgreSQLDelta LakeMLOps PipelinesData Fabric Architectures

Certifications & Qualifications

TOGAF 9CDMPMicrosoft Certified: Azure Solutions Architect Expert (AZ-305)

Industry Keywords

EngineeringManufacturingHealthcarePublic SectorDefence

Tech Stack

Tools & technologies

AzureCloudKafkaPostgresSQL

About the role

Key responsibilities & impact

Advocate the business benefit of data standards and champion and govern them across projects and the organisation
Determine patterns, standards, policies, roadmaps, and vision statements from an overall perspective on business issues
Make and guide effective decisions, explain decision-making clearly, and resolve technical disputes
Communicate complex technical information accessibly across organisational, technical, and political boundaries
Design data exposure through APIs and real-time streams, link data across systems, and deliver modern data services
Ensure deployment risks are understood and documented
Design end-to-end data solutions from requirements through implementation, including technical documentation and architecture blueprints
Lead complex data migrations from legacy systems to modern cloud-native platforms
Evaluate and recommend technologies across the modern data stack for client needs
Mentor junior team members and collaborate with data engineers, software engineers, data scientists, and business stakeholders
Enable transformative business decisions through robust, scalable data architectures
Drive adoption of modern data platforms and AI-enabled analytics solutions
Establish technical standards and architectural patterns supporting quality, security, and maintainability
Cultivate data-driven cultures within client organisations and internally
Deliver architectures integrating traditional and modern data systems

Requirements

What you’ll need

Deep knowledge of the Azure data stack, including Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric
Extensive data modelling experience with normalised relational and de-normalised Star Schema/dimensional models
Excellent relational database design skills and performance optimisation across SQL Server, PostgreSQL, and cloud databases
Proven experience with complex data migration projects involving terabyte-plus datasets, multiple legacy source systems, and structured and unstructured data
Proficiency with Parquet, Delta Lake, or other modern data storage formats
Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time processing
Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores, and MLOps pipelines
Experience processing and managing unstructured data such as text, images, logs, and sensor data
Understanding of Lambda and Kappa architectural patterns and when to apply them
UKSV clearance required, with Security Check (SC) as the minimum standard, either already held or willingness to undergo the process
Must complete Baseline Personnel Security Standard (BPSS) onboarding requirements
Willingness to obtain Developed Vetting (DV) may be beneficial for some roles/projects
Exposure to high-performing, low-latency, or large-volume data systems
Knowledge of Government Digital Service practices across Discovery/Alpha/Beta/Live phases
Experience with Infrastructure as Code and modern DevOps practices
Knowledge of operational log design and analysis for data processing and incident triage
Awareness of advances in AI technologies, data services, and architectural practices
Industry specialisation in sectors such as Engineering, Manufacturing, or Healthcare
Public sector or defence experience
Experience with Databricks or Microsoft Fabric
Understanding of data mesh or data fabric architectures
Relevant certifications such as TOGAF 9, CDMP, or Microsoft Certified: Azure Solutions Architect Expert (AZ-305)

Benefits

Comp & perks

Autonomy to develop and grow your skills and experience
Exciting project work making a difference in society
Supportive and collaborative environment
Annual two-day technical hackathon
Monthly Engineering & Architecture Community of Practice event
Bi-annual whole company teambuilding events
Development access to Pluralsight and LinkedIn Learning
2 paid volunteering days per year
Non-contributory Private Medical Insurance, including spouse and dependants
Non-contributory Worldwide Travel Insurance, including spouse and dependants
Discretionary Company Bonus based on company and individual performance
Life Assurance of 4 times base salary
25 days annual leave plus bank holidays, with option to buy 5 extra days each year
Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
Wellness 24/7 Confidential employee assistance programme
Office parties, pizza Friday, and commitment to charitable causes