Data Architect (Fabric)

Role summary

Data Architect (Fabric) is a role at Methods Business and Digital Technology in London, England, United Kingdom (remote). Posted 2026-08-13. Experience level: 10+.

Job title

Data Architect (Fabric)

Company

Methods Business and Digital Technology

Location

London, England, United Kingdom

Work arrangement

remote

Category

Logistics & Warehousing

Experience level

10+

Date posted

2026-08-13

Job description

About Methods:

Methods is a £100M+ IT Services Consultancy who has partnered with a range of central government departments and agencies to transform the way the public sector operates in the UK. Established over 30 years ago and UK-based, we apply our skills in transformation, delivery, and collaboration from across the Methods Group, to create end-to-end business and technical solutions that are people-centred, safe, and designed for the future.

Our human touch sets us apart from other consultancies, system integrators and software houses - with people, technology, and data at the heart of who we are, we believe in creating value and sustainability through everything we do for our clients, staff, communities, and the planet.

We support our clients in the success of their projects while working collaboratively to share skill sets and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them.

Predominantly focused on the public-sector, Methods is now building a significant private sector client portfolio.

Methods was acquired by the Alten Group in early 2022. Alten is a global engineering firm with approximately 57,000 employees specializing in engineering and IT services.

Description

Job title: Data Architect

Team: Delivery

Methods is recruiting for a Data Architect with deep knowledge of Fabric architecture to join our team a permanent basis.

This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield.

What You'll Be Doing as a Data Architect:

Be the senior technical authority for the programme, responsible for defining technical direction, priorities, standards and decision-making.

Be accountable for creating and maintaining the Data Transformation Programme roadmap and ensuring all workstreams align to the target architecture and business objectives.

Setting priorities

Guiding technical workstreams

Identifying incorrect or low-value activities

Redirecting effort towards programme outcomes

Uplift the capability of the existing team

Mentor architects and engineers

Establish good engineering practices

Develop Fabric knowledge within both Methods and the customer team

Chair or lead: Architecture reviews. Design authorities, Technical governance forums and Data platform standards reviews

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

Your Impact:

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

You Will Demonstrate:

Deep knowledge of Fabric architecture, governance, OneLake, Real-Time Intelligence, Data Engineering, Warehousing and Power BI integration

Capability 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 (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

You May Also Have:

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 adv