At a Glance
- Tasks: Lead and evolve data architecture to drive business outcomes and informed decision-making.
- Company: Join the Guinness Team, a leader in innovative data solutions.
- Benefits: Enjoy hybrid working, competitive salary, and professional development opportunities.
- Other info: Opportunity for career growth in a supportive and collaborative culture.
- Why this job: Make a real impact by shaping data strategy in a dynamic environment.
- Qualifications: Experience in enterprise data architecture and strong knowledge of modern data platforms required.
About the role
We have an exciting opportunity for a Data Architect to join the Guinness Team. This is a permanent, full-time position (35 hours per week) based in either our London or Oldham office. We offer a hybrid working arrangement, combining office and remote working.
The purpose of the role is to establish, lead and evolve Guinness's enterprise data architecture capability, ensuring data is structured, governed and integrated as a strategic asset that enables business outcomes, regulatory compliance and informed decision-making.
What we are looking for
We are looking for someone who has proven experience defining enterprise data architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview or OneTrust. The successful candidate will be able to translate business strategy into clear architectural standards and roadmaps, while building strong relationships and influencing stakeholders at all levels to drive successful outcomes.
You will be able to demonstrate these essential skills:
- Proven experience of defining enterprise data architecture, enterprise data models, and domain architectures in complex organisations.
- Experience of using Enterprise Architecture Frameworks (TOGAF, DAMA (CDMP)), architectural principles, design patterns, architecture tools and artifact repositories.
- Strong understanding of integration architecture, modern data platforms, and master data management approaches.
- Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks.
- Experience of working with Microsoft Azure data services, Microsoft Fabric, and governance tooling such as OneTrust, Purview, or equivalent.
- Experience in translating business strategy into practical architecture standards and roadmaps.
- Able to lead, engage and influence at all levels.
- Demonstrates the Guinness Leadership and Management Standard.
- Demonstrates the Guinness Behaviours.
Desirable skills:
- Experience of working within the social housing sector.
- Knowledge of social housing processes and systems.
Essential qualifications
- Certification in TOGAF, Zachman, DAMA (CDMP), or equivalent frameworks.
- Educated to Level 6 (degree or equivalent) or higher in an IT/ STEM related degree discipline.
Desirable qualifications
- Azure or Microsoft Data certifications.
- PM / Prince 2 / Agile Practitioner / DevOps / ITIL.
*Please note that the advertised salary includes a £6,000 London Job Supplement. This supplement is only available to employees based at our Euston Road office.*
To find out more about the key responsibilities of the role and to ensure you meet the full essential criteria, please review the role profile.
Data Architect employer: The Guinness Partnership
Guinness is an exceptional employer, offering a dynamic work environment in Oldham with a strong commitment to employee growth and innovation. Our hybrid working model promotes a healthy work-life balance, while our investment in cutting-edge digital tools like Microsoft Dynamics 365 and AI technologies ensures that you will be at the forefront of digital product management. Join us to make a meaningful impact on resident experiences and operational efficiency, all within a supportive culture that values collaboration and continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨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 The Guinness Partnership!
✨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 The Guinness Partnership.
✨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 The Guinness Partnership.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at The Guinness Partnership, 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
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 The Guinness Partnership, 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 The Guinness Partnership. 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 The Guinness Partnership
✨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 The Guinness Partnership!
✨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.