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Methods Business and Digital Technology

Digital transformation for UK public sector

Principal Data Solution Architect

Data EngineeringUpdated on Nov 10
Full-timeManchester, UKNo salary listed

About the Job

Requirements

  • Deep knowledge of Fabric architecture, governance, OneLake, Real-Time Intelligence, Data Engineering, Warehousing, and Power BI integration.
  • Ability to influence senior stakeholders, programme sponsors, and project boards.
  • Ability to communicate technical decisions to non-technical executives and secure agreement on technical direction.
  • Deep knowledge of the Azure data stack, including Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, and Azure Databricks/Fabric.
  • Extensive data modelling experience, including normalised relational models and de-normalised star schema/dimensional models.
  • Excellent relational database design skills and expertise diagnosing and optimising performance across SQL Server, PostgreSQL, and cloud databases.
  • Proven track record with complex data migration projects involving terabyte-plus datasets, multiple legacy source systems, 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 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, including text, images, logs, and sensor data.
  • Understanding of Lambda and Kappa architectural patterns and when to apply each.
  • UKSV clearance at Security Check (SC) level at minimum, either already held or with willingness to undergo the process; candidates must complete Baseline Personnel Security Standard screening.

Responsibilities

  • Serve as the programme’s senior technical authority, defining technical direction, priorities, standards, and decisions.
  • Create and maintain the Data Transformation Programme roadmap and ensure workstreams align with the target architecture and business objectives.
  • Set priorities, guide technical workstreams, identify incorrect or low-value activities, and redirect effort toward programme outcomes.
  • Uplift the capability of the existing team and mentor architects and engineers.
  • Establish good engineering practices and develop Fabric knowledge within Methods and the customer team.
  • Chair or lead architecture reviews, design authorities, technical governance forums, and data platform standards reviews.
  • Advocate for the business benefits of data standards and champion and govern those standards across projects and the organisation.
  • Determine patterns, standards, policies, roadmaps, and vision statements based on an overall perspective of business issues and activities.
  • Make and guide effective decisions, explain how decisions were reached, and resolve technical disputes across different levels of complexity and risk.
  • Communicate across organisational, technical, and political boundaries, making complex technical information accessible to non-technical audiences.
  • Design how to expose data from systems through APIs and real-time streams, link data from multiple systems, and deliver modern data services.
  • Ensure deployment risks 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 technologies across the modern data stack to meet specific client needs.
  • 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 integrate traditional and modern data systems.

Desired Qualifications

  • Exposure to high-performing, low-latency, or large-volume data systems.
  • Knowledge of or experience with Government Digital Service practices across Discovery, Alpha, Beta, and Live phases.
  • Understanding of vector databases and similarity search for AI applications.
  • Experience with Infrastructure as Code and modern DevOps practices.
  • Knowledge of designing and analysing operational logs for data processing and triaging incidents.
  • 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.
  • 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).

About the Company

Methods Business and Digital Technology

Digital transformation for UK public sector

Methods Business and Digital Technology helps UK public sector organisations upgrade their services with digital transformation. It partners with central government departments and agencies to move from old, siloed legacy infrastructure to a platform-based operating model, keeping costs low while improving front-end public services for citizens. The company provides specialist skills and deep public-sector expertise to transform operations, reduce reliance on expensive suppliers, and strengthen control over customer relationships and operating models. Its goal is to safeguard public-facing services, apply digital thinking to keep services citizen-centered, and deliver real savings and benefits for government and society.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
1990

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