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About the Role

As a Data Architect, you will be the senior technical authority for the programme, defining technical direction, priorities, standards, and decision-making. You will be accountable for creating and maintaining the Data Transformation Programme roadmap, ensuring all workstreams align with the target architecture and business objectives. This role involves guiding technical workstreams, identifying and redirecting effort towards programme outcomes, and uplifting the capability of the existing team through mentorship and establishing good engineering practices.

Responsibilities

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

Requirements

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
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
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)

Skills

Data Architecture
Data Transformation
Roadmap Creation
Technical Direction
Architecture Reviews
Design Authorities
Technical Governance
Data Platform Standards
Data Standards Advocacy
API Design
Real-time Data Streaming
Data Integration
Modern Data Services
Data Migration
Cloud-Native Platforms
Azure Data Stack
Data Modelling
Relational Database Design
Performance Tuning
Parquet/Delta Lake
Streaming Architectures
Kafka
Event Hubs
Kinesis
AI/ML Workloads
Vector Databases
Feature Stores
MLOps Pipelines
Unstructured Data Processing
Lambda Architecture
Kappa Architecture
Infrastructure as Code
DevOps Practices
Operational Log Analysis
AI Technologies
Data Services
TOGAF 9
CDMP
Microsoft Certified: Azure Solutions Architect Expert

Location

Remote
London
Sheffield
Bristol

Work Type

Remote
Hybrid

Experience Level

Senior

Benefits

Autonomy to develop and grow skills and experience
Part of exciting project work that is making a difference in society
Strong, inspiring, and thought-provoking leadership
Supportive and collaborative environment
Access to LinkedIn Learning
Management development programme
Training
24/7 confidential employee assistance programme
Flexible Working
Home working
Part time
25 days of annual leave a year, plus bank holidays
Option to buy 5 extra days each year
2 paid days per year to volunteer
Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
Life Assurance of 4 times base salary
Private Medical Insurance (non-contributory, spouse and dependants included)
Worldwide Travel Insurance (non-contributory, spouse and dependants included)
Enhanced Maternity and Paternity Pay
Season ticket loan
Cycle to work scheme

About the Company

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.