At a Glance
- Tasks: Shape enterprise data architecture and govern analytics for impactful AI use cases.
- Company: Specialist advisory organisation at the intersection of finance and technology.
- Benefits: Up to £100,000 salary, hybrid working, and robust benefits package.
- Other info: Join a growing Data & AI capability with excellent career development opportunities.
- Why this job: Lead in a fast-paced environment and make a real difference in data governance.
- Qualifications: Proven senior data architecture experience and strong stakeholder management skills.
The predicted salary is between 60000 - 80000 £ per year.
We are recruiting a Senior Data Architect to join a specialist advisory organisation operating at the intersection of financial services and technology. With a history operating in regulated environments, the business supports institutions where technology carries significant financial and regulatory impact.
This is a key role within a growing Data & AI capability responsible for shaping and governing enterprise data architecture to support analytics, reporting and advanced AI use cases in complex, regulated environments. This position is a senior technical leadership role where you will provide architectural oversight rather than hands-on delivery. You will play a critical role in ensuring data is trusted, well-designed, and aligned to both business priorities and regulatory expectations.
Responsibilities- Shape and evolve enterprise-wide data architecture to support strategic business objectives and technology direction
- Develop robust data designs to enable scalable analytics, reporting and AI capabilities
- Define and embed architectural frameworks and standards across the data environment
- Provide governance and design assurance to ensure consistency, quality and alignment with regulatory expectations
- Enable strong data management practices including governance, lineage and data quality
- Contribute to the development of strategic data roadmaps, balancing immediate delivery needs with long-term goals
- Ensure data platforms and solutions meet requirements for security, performance, resilience, and compliance
- Proven experience in a senior data architecture role
- Strong knowledge of data architecture principles including data modelling and platform design
- Experience designing data solutions for analytics, reporting and Machine Learning use cases
- Experience working within regulated environments (e.g. financial services, insurance, banking)
- Strong stakeholder management skills with the ability to communicate complex concepts clearly
- Salary of up to £100,000
- Hybrid working arrangement - 3 days per week in office
- Opportunity to define architecture in a fast paced, evolving environment
- Robust company benefits package
Senior Data Architect in Edinburgh employer: Tenth Revolution Group
As a Senior Data Architect at our specialist advisory organisation, you will thrive in a dynamic work culture that values innovation and collaboration, all while enjoying a competitive salary of up to £100,000 and a hybrid working arrangement. We prioritise employee growth through opportunities to shape enterprise data architecture in a fast-paced environment, supported by a robust benefits package and a commitment to professional development. Join us to make a meaningful impact at the intersection of financial services and technology, where your expertise will be valued and your career can flourish.
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We think this is how you could land Senior Data Architect in Edinburgh
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We think you need these skills to ace Senior Data Architect in Edinburgh
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 Tenth Revolution Group, 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 Tenth Revolution Group. 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 Tenth Revolution Group
✨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 Tenth Revolution Group!
✨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.