At a Glance
- Tasks: Design and deliver innovative data services in a collaborative team environment.
- Company: Join a forward-thinking organisation focused on impactful data solutions.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration.
- Why this job: Shape the future of data architecture and make a difference in the public sector.
- Qualifications: Experience in data architecture and strong communication skills required.
The predicted salary is between 50000 - 70000 £ per year.
We are seeking a Data Architect to work within a multi-disciplinary team to design and deliver a new data service within a large-scale organisational environment. This role involves shaping data architecture, supporting data engineering activities, and ensuring data models and documentation meet organisational standards and requirements. The Data Architect will collaborate closely with technical and non-technical stakeholders to establish robust data structures, governance practices, and scalable solutions across the data platform.
Who We’re Looking For
An experienced Data Architect who can confidently lead client engagements, design scalable data platforms, and align technical solutions with business outcomes.
Key Responsibilities
- Review existing system design and data architecture; update documentation, data dictionaries, and data models as needed.
- Design conceptual, logical, and physical data models.
- Support data engineers on ingestion tasks.
- Build data models aligned with the organisation's requirements.
- Ensure all documentation is reviewed and approved by the central data architecture team.
- Develop Data Architecture and Governance Plans.
Mandatory Requirements
- Design a suitable Data Architecture for the new service in keeping with the existing organisation’s data platform, established patterns and processes.
- Support Data Engineers and Data Analysts.
- Support design, development, and deployment of platform infrastructure and Azure services and Databricks services as needed for dataflows and integrations.
- Verify data models meet functional and nonfunctional requirements.
- Improve engineering processes.
- Establish service measures and provide support for data pipeline and processes.
- Ensure documentation is reviewed and approved by central data platform team per acceptance criteria.
- Participate in communities of practice, ceremonies, and approval forums as required.
Desirable
- Prior experience working within UK Public Sector environments or with Government Digital Standards.
Soft Skills
- Strong stakeholder communication and cross-team collaboration.
- Analytical and solution-focused mindset.
- Able to work independently, take ownership and drive progress.
- Commitment to clean, scalable, well-documented engineering.
- Adaptable, proactive, and comfortable working in dynamic delivery environments.
Contract Details
- Contract Type: Freelance / Contract (Outside IR35)
- Location: Remote (UK-based candidates preferred)
- Start Date: ASAP
- Clearance: Candidates must be eligible to work with UK Government departments / BPSS.
Data Architect in Guildford employer: Ceox
As an Azure Solutions Architect with us, you'll be part of a dynamic and inclusive work culture that values innovation and collaboration. We offer competitive contract rates, flexible remote working options, and opportunities for professional growth within the UK Public Sector, ensuring you can make a meaningful impact while advancing your career in cloud solutions. Join us to work on exciting projects that challenge your skills and contribute to the digital transformation of public services.
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We think this is how you could land Data Architect in Guildford
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We think you need these skills to ace Data Architect in Guildford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Ceox, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ceox. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ceox
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ceox!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.