Damia Group
Data Architect
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Data Architect - £656 per day inside IR35 - 6 months - Telford - 2 days onsite per week
This temporary contract is inside IR35 and will require working under the direction of the client delivery manager as part of a multi-disciplinary team. The successful candidate will follow established delivery processes and working practices.
This role requires the successful candidate to undergo and be eligible for UK Security Vetting at SC level. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements (5 years). If applicable, reserved post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds.
More details relating to UK Security Clearance can be found here: United Kingdom Security Vetting: clearance levels - GOV.UK
Description
In this role, you will help to shape and deliver data and analytics solutions that directly support client priorities: improving efficiency, maximising revenues, reducing fraud and responding rapidly to policy challenges.
We are looking for Data Architects with a specialism in data-related technologies who can operate across the full data lifecycle and design enterprise-level data architecture for complex programmes. These include cloud migrations, data management, data virtualisation, lakehouse deployments and the creation of modern data pipelines. You’ll put client requirements and industry best practice at the heart of delivery to help build world-class solutions that move from design into live service safely and successfully.
Our Data Architects act as technical leaders from the outset. They own end-to-end solution design through delivery and implementation into live operation. The successful candidate will often support the development of commercial proposals and provide technical solution governance throughout the lifecycle.
Key Responsibilities
As a Data Architect, you will take ownership of the solution design and guide delivery teams through complex technical decisions ensuring solutions are robust, governable and deliverable into live service.
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Key responsibilities include:
- Designing data architectures, including cataloguing, metadata, lineage, quality, ownership and classification, to ensure data is trusted, discoverable, secure and fit for purpose from source to consumption.
- Taking architectural ownership of how data is designed for consumption by both humans and autonomous agents, including analytics users, applications and AI driven services.
- Providing architectural direction on the safe and governed adoption of AI and agent based capabilities within data and analytics platforms.
- Producing architectures and designs for complex end-to-end data solutions, including data storage and management, ETL/ELT, reporting and analytics.
- Advising clients on architecture/infrastructure, platform and engineering best practices across data warehouse / data lake solutions and modelling concepts.
- Taking ownership of client requirements, deliverables and accountabilities, ensuring adherence to architecture governance processes, industry best practices and alignment with the client’s architecture vision.
- Driving solution development and documentation, ensuring good architectural practices are applied throughout the lifecycle.
- Providing architectural oversight and direction on behalf of our clients, including governance at all stages.
- Building trusted-advisor relationships with clients through boldness, honesty and credible technical leadership.
- Managing relationships with vendors, third parties and key internal stakeholders.
- Owning technical problem management and resolution relevant to the solution development.
- Contributing to and actively participating in the Architecture practice and community.
Skills and Experience
Essential
You bring strong, hands-on data architecture experience and the ability to lead technical delivery in complex environments. You’ll be credible with both senior client stakeholders and internal delivery leadership and comfortable making decisions that balance technical quality, risk and delivery outcomes.
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We’re looking for demonstrable experience in:
- Multiple data storage technologies used in data warehouse and data lake solutions, such as:
- Relational DBMS
- NoSQL
- Graph databases
- Cloud object storage
- DB as a service
- Architecture and design concepts for ETL/ELT solutions, using a range of tooling.
- Designing and applying data virtualisation technologies, particularly at enterprise scale.
- Architecture and design concepts for data exploitation solutions and technologies, including:
- Analytics (e.g., SAS, R)
- Reporting (e.g., Pentaho Business Analytics, Power BI)
- APIs (e.g., Java, Denodo)
- Expertise in data modelling within large, complex IT estates, implementing multiple data architectures and integrating data management / governance tooling.
- Modern ways of working such as Agile, CI/CD, DevOps and test automation.
- Delivery across on-premise, cloud and hybrid environments, including cloud migration programmes.
- Setting direction and technical scope, building/leading technical teams and managing technical deliverables.
- Strong communication, influencing and facilitation skills—especially for troubleshooting, problem-solving and decision-making.
- Resilience, flexibility and ability to adapt to changing schedules and priorities. A drive to deliver results and exceed client expectations—bringing clear personal value to every engagement.
- Integrating third-party products into complex estates, managing interdependencies and leading end-to-end delivery in multi-supplier engagements.
Desirable
If you have any of the following, it will help you stand out:
- Experience with lakehouse deployments and modern cloud-native data platforms.
- Practical understanding of the real-world impact and usage of AI services to enhance and improve data quality, consumption and processing.
- Experience contributing to commercial proposals, bids, or shaping technical approaches for client engagements.
- Demonstrated experience owning or operating architecture governance across a programme lifecycle, including design assurance and decision control.
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