At a Glance
- Tasks: Lead the design of a cloud-native data platform and shape enterprise data strategy.
- Company: Join a top Financial Services organisation making waves in data architecture.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a chance to drive data as a strategic asset.
- Why this job: Be at the forefront of data innovation and influence key decisions globally.
- Qualifications: Proven experience in data architecture and strong stakeholder management skills.
The predicted salary is between 72000 - 88000 £ per year.
Harvey Nash is partnering with a leading Financial Services organisation to appoint a Lead Data Architect in Edinburgh.
You will own the enterprise data strategy and help build a modern cloud-native data platform supporting analytics and decision-making globally.
You'll shape the future state, set architecture standards, and influence senior stakeholders across multiple programmes while driving data as a strategic asset in a regulated environment.
Hybrid working available in Edinburgh. #J-18808-Ljbffr
Edinburgh-Based Lead Data Architect: Cloud-Native Platform 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 Edinburgh-Based Lead Data Architect: Cloud-Native Platform
✨Get Involved in Data Science Meetups
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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 Harvey Nash.
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We think you need these skills to ace Edinburgh-Based Lead Data Architect: Cloud-Native Platform
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 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.
