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Hybrid Data Architect

at Methods
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About the role

  • Advocate the business benefit of data standards, championing and governing those standards across projects and the organisation
  • Demonstrate an overall perspective on business issues and activities, determining patterns, standards, policies, roadmaps and vision statements
  • Make and guide effective decisions, explaining clearly how decisions have been reached and resolving technical disputes across varying levels of complexity and risk
  • Communicate effectively across organisational, technical and political boundaries, making complex technical information accessible for non-technical audiences
  • Design how to expose data from systems (APIs, real-time streams), link data from multiple systems, and deliver modern data services
  • Ensure that risks associated with deployment are adequately understood and documented
  • Design end-to-end data solutions from requirements through implementation, including technical documentation and architecture blueprints
  • Lead complex data migration projects from legacy systems to modern cloud-native platforms
  • Evaluate and recommend appropriate technologies across the modern data stack to meet specific 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 that ensure quality, security, and maintainability
  • Help cultivate a data-driven culture within client organisations and internally
  • Deliver architectures that seamlessly integrate traditional and modern data systems

Requirements

  • Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric)
  • Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models
  • Excellent relational database design skills with expertise in diagnosing and optimising performance across SQL Server, PostgreSQL, and cloud databases
  • Proven track record with complex data migration projects (terabyte+ datasets, multiple legacy source systems, structures 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 data processing
  • Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines
  • Experience processing and managing unstructured data types (text, images, logs, sensor data)
  • Understanding of Lambda and Kappa architectural patterns and when to apply each
  • Exposure to high-performing, low latency or large volume data systems
  • Knowledge of and/or experience with Government Digital Service practices across Discovery/Alpha/Beta/Live phases
  • Understanding of vector databases and similarity search for AI applications
  • Experience with Infrastructure as Code and modern DevOps practices
  • Knowledge of how to design and analyse operational logs for data processing, and triage incidents
  • Awareness of advances in AI technologies, data services, and architectural practices
  • Industry specialisation in specific sectors (Engineering, Manufacturing, Healthcare etc.)
  • Public sector or defence experience
  • Experience with modern unified data platforms like Databricks or Microsoft Fabric
  • Understanding of data mesh or data fabric architectural approaches
  • Relevant industry certifications such as TOGAF 9, CDMP (Certified Data Management Professional), or Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
  • UKSV (United Kingdom Security Vetting) clearance required (Security Check (SC) minimum) or willingness to undergo process
  • Willingness to obtain Developed Vetting (DV) clearance if required
  • Will be asked to complete a Baseline Personnel Security Standard (BPSS) as part of onboarding

Benefits

  • Autonomy to develop and grow your skills and experience
  • Be part of exciting project work that is making a difference in society
  • Strong, inspiring, and thought-provoking leadership
  • A supportive and collaborative environment
  • Annual two-day technical hackathon bringing together all technical teams for innovation and collaboration
  • Monthly Engineering & Architecture Community of Practice event
  • Bi-annual whole company teambuilding events
  • Development access to Pluralsight and LinkedIn Learning
  • Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation
  • Private Medical Insurance which is non-contributory (spouse and dependants included)
  • Worldwide Travel Insurance which is non-contributory (spouse and dependants included)
  • Discretionary Company Bonus based on company and individual performance
  • Life Assurance of 4 times base salary
  • Time off - 25 days of annual leave a year, plus bank holidays, with the 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
  • Social - office parties, pizza Friday and commitment to charitable causes

Job title

Data Architect

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

AzureCloudKafkaPostgresSQL

Location requirements

HybridLondonUnited Kingdom

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