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 a leading employer in the UK public sector, we offer Data Architects the opportunity to work on impactful projects that shape the future of data services. Our remote work culture promotes flexibility and collaboration, while our commitment to employee growth ensures access to continuous learning and development opportunities. Join us to be part of a dynamic team that values innovation, stakeholder engagement, and the delivery of scalable solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Guildford
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
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We think you need these skills to ace Data Architect in Guildford
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Architect at Ceox, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Ceox.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Ceox
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
