At a Glance
- Tasks: Design robust data ecosystems and drive digital transformation for leading organisations.
- Company: Partnering with top financial services and innovative tech consultancies across the UK.
- Benefits: Competitive salary, flexible working options, and opportunities for career advancement.
- Other info: Collaborative environment with cross-functional teams and executive stakeholders.
- Why this job: Make a genuine impact on enterprise-level data strategy and elevate your career.
- Qualifications: Extensive experience in data architecture and strong knowledge of cloud-native platforms.
The predicted salary is between 72000 - 88000 £ per year.
Senior Data Architect The Opportunity We are currently partnering with multiple clients, ranging from established financial services organisations to innovative technology consultancies across the United Kingdom, who are looking for strategic Senior Data Architects to help shape their data future.
This is an exceptional opportunity to play a pivotal role in designing robust data ecosystems that drive digital transformation and support long-term organisational growth.
If you are a visionary architect looking to make a genuine impact on enterprise-level data strategy, these roles offer the perfect platform to elevate your career.
The Role In this position, you will act as the crucial bridge between complex business objectives and technical execution, defining target-state architectures and developing comprehensive data roadmaps.
You will oversee the end-to-end data lifecycle—from analysing legacy systems to designing modern, cloud-native platforms—while establishing the governance frameworks necessary to ensure data quality, security, and compliance.
By collaborating closely with cross-functional teams and executive stakeholders, you will ensure that all architectural decisions are scalable, high-performance, and fully aligned with the broader business strategy.
What We're Looking For Extensive experience in enterprise data architecture, strategy, and roadmap development.
Proficiency in conceptual, logical, and physical data modelling.
Strong knowledge of data governance, quality, and Master Data Management (MDM) frameworks.
Proven expertise in designing and migrating to cloud-native data platforms (e. g., Azure, AWS).
Deep understanding of data integration patterns, including ETL, APIs, and middleware.
Ability to reverse-engineer legacy systems and map complex data flows.
Exceptional stakeholder management and communication skills, with the ability to influence both technical and non-technical audiences.
Experience leading data migration programmes and managing data lifecycle requirements.
Senior Data Architect employer: Myn
Myn is an exceptional employer, offering a nurturing and supportive work environment for Nursery Room Leaders in Bristol. With generous benefits such as 33 days of annual leave, flexible working options, and extensive family and wellbeing support, employees are encouraged to thrive both personally and professionally. The company prioritises employee growth through tailored training and progression opportunities, making it a rewarding place to build a meaningful career in early years education.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Myn!
✨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 Senior Data Architect at Myn.
✨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 Myn.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Architect at Myn, 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 Senior 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 Myn, 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 Myn. 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 Myn
✨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 Myn!
✨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.
