At a Glance
- Tasks: Design and evolve data architecture for a transformative purpose-led organisation.
- Company: Join a leading organisation focused on impactful data solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Shape the future of data and make a real difference in services and outcomes.
- Qualifications: Experience as a Data Architect with strong SQL and data modelling skills.
The predicted salary is between 72000 - 88000 £ per year.
- Data Architect
- UK Hybrid – office attendance once or twice per month
Shape the data architecture behind a major transformation within a purpose-led organisation.
This is a new and pivotal role for a commercially minded Data Architect who can engage across the business, influence senior stakeholders and design data models that support better services and outcomes.
The organisation currently operates an on-premises SQL environment with Tableau reporting.
As part of its transformation journey, it plans to move towards Microsoft Fabric and Databricks.
- What you’ll be doing
- Defining and evolving the data architecture and roadmap.
- Designing analytical, semantic and reporting data models.
- Creating data maps and data-flow documentation.
- Shaping the future migration from legacy systems to a modern data platform.
- Ensuring data is secure, accessible, reliable and effectively governed.
- Translating business priorities into practical architectural decisions.
- Working closely with Data, Analytics, Infrastructure, Architecture and Security teams.
- What we’re looking for
- Proven experience as a Data Architect with strong data modelling expertise.
- Strong SQL Server and data architecture experience.
- Experience working within Tableau reporting environments.
- Experience with Microsoft Fabric, Databricks or similar modern cloud data platforms would be advantageous.
- A track record of supporting data transformation or migration programmes.
- Strong commercial awareness and the ability to balance value, cost and long-term sustainability.
- Excellent communication and stakeholder management skills, including at executive level.
This is an architecture and modelling role rather than a pure Data Engineering position.
You’ll combine strategic thinking with practical delivery, helping shape a data platform that makes a meaningful difference.
Apply today for more information.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes!
If you have a friend or colleague who would be interested in this role, please refer them to us.
For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK.
For more information visit our website
Data Architect in England employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in England
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Datatech Analytics!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect at Datatech Analytics.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Datatech Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at Datatech Analytics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Architect in England
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Datatech Analytics, 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 Datatech Analytics. 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 Datatech Analytics
✨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!
✨Showcase Your Projects
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 Datatech Analytics!
✨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.
