At a Glance
- Tasks: Lead the design of a modern cloud-based data platform and define enterprise data strategy.
- Company: Join a leading Financial Services organisation at the forefront of digital transformation.
- Benefits: Flexible hybrid working, strong culture of learning, and significant investment in technology.
- Other info: High-profile role with visibility across senior leadership and excellent career progression opportunities.
- Why this job: Shape the future of data and make a real impact on a global scale.
- Qualifications: Proven experience in Data Architecture and expertise in Azure and Microsoft technologies.
The predicted salary is between 80000 - 90360 £ per year.
Shape the future of data for a leading Financial Services organisation
Data is becoming one of the most valuable assets in financial services, and this is an opportunity to define how a global organisation uses it for years to come.
We're partnering with a leading Financial Services organisation investing heavily in its technology and data capabilities, with Edinburgh at the centre of that journey.
As part of a major digital transformation programme, they're looking for a Lead Data Architect to take ownership of their enterprise data strategy and help build a modern, cloud-native data platform that will support business-critical operations, analytics and decision-making across the globe.
This isn't a role where you'll simply maintain what's already there.
You'll be shaping the future state, influencing senior stakeholders, defining architecture standards and helping create a data platform capable of supporting a complex international business operating at significant scale.
- What you'll be doing
- Defining the long-term vision and roadmap for enterprise data architecture
- Leading the design of a modern cloud-based data platform built on Microsoft technologies
- Driving best practice across data governance, engineering, analytics, visualisation and master data management
- Partnering with senior business and technology leaders to align data strategy with business objectives
- Influencing key architecture decisions across multiple programmes and product teams
- Helping establish data as a trusted, strategic asset across the organisation
What we're looking for
- Proven experience in Data Architecture within large, complex organisations
- Strong expertise across Azure, Microsoft Fabric, Power BI and modern data platforms
- Excellent understanding of data engineering, analytics, governance and data management principles
- Experience designing enterprise-scale cloud and Saa S data solutions
- Ability to engage, influence and challenge senior stakeholders
- Background within Financial Services, Fin Tech or similarly regulated environments
Why consider this role?
- Opportunity to lead enterprise-wide Data Architecture rather than a single programme
- Significant investment in modern data technologies and platforms
- High-profile role with visibility across senior leadership teams
- Join a growing technology hub in Edinburgh with ambitious expansion plans
- Flexible hybrid working environment
- Strong culture of learning, development and career progression
- Chance to play a key role in a global transformation programme
If you're a Data Architect who enjoys setting strategy, influencing technology direction and building modern data capabilities at scale, this is an opportunity to make a genuine impact within a globally recognised Financial Services organisation.
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Lead Data Architect in Dunfermline employer: Harvey Nash
Join a leading organisation that values continuous improvement and offers a collaborative work culture, where you will be part of a dedicated team enhancing a complex Dynamics 365 CE and Power Platform environment. With opportunities for professional growth and exposure to enterprise-scale solutions, this role is perfect for those looking to expand their consulting capabilities while working closely with experienced professionals in Birmingham and remotely. Enjoy the flexibility of remote work combined with the chance to make meaningful contributions to a large user base.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Architect in Dunfermline
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Lead Data Architect in Dunfermline
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 Harvey Nash, 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 Harvey Nash. 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 Harvey Nash
✨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 Harvey Nash!
✨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.
