At a Glance
- Tasks: Design and build cutting-edge AWS data platforms and AI solutions.
- Company: Leading tech consultancy with a focus on Data & AI innovation.
- Benefits: Up to £95,000 salary, hybrid work, and excellent career growth.
- Other info: Collaborative culture with ongoing training and exposure to the latest technologies.
- Why this job: Influence technical strategy and lead innovative cloud data projects.
- Qualifications: Experience as a Data Platform Architect with strong AWS expertise.
The predicted salary is between 70000 - 90000 £ per year.
AWS Data Platform Architect - London (Hybrid) - AWS - Databricks - Up to £95,000
We're working with a leading technology consultancy that is investing heavily in its Data & AI practice and looking to add an experienced AWS Data Platform Architect to its growing team.
You'll work on large-scale transformation programmes for enterprise and regulated-sector clients, helping shape modern cloud data platforms and AI-driven solutions.
This is a fantastic opportunity to influence technical strategy, work with senior stakeholders and lead the delivery of innovative AWS-based data solutions.
- You Will Work With
- Designing end-to-end AWS data platforms
- Building modern data lakes, warehouses and analytics solutions
- Implementing Machine Learning and Generative AI capabilities
- Defining cloud architecture and technical roadmaps
- Working across batch and real-time data processing environments
- Driving data governance, security and best practices
- Leading and mentoring technical delivery teams
- Engaging with senior stakeholders and business leaders
Benefits
- Salary up to £95,000
- Hybrid working model
- Excellent career progression opportunities
- Exposure to cutting-edge AI and cloud technologies
- Comprehensive benefits package
- Ongoing training and certification support
- Collaborative and technology-focused culture
- Key Experience
- Proven experience as a Data Platform Architect, Data Architect or Cloud Architect
- Strong AWS data platform expertise
- Experience with modern data technologies such as Redshift, Databricks or Snowflake
- Knowledge of Machine Learning, AI or Generative AI technologies
- Strong understanding of data governance and security
- Experience delivering enterprise-scale cloud solutions Excellent stakeholder management skills
- SQL and Python knowledge desirable
- Experience within regulated environments beneficial
- SC Clearance or eligibility to obtain clearance
- Apply Now
This is an excellent opportunity to join an organisation delivering some of the most exciting Data, Cloud and AI projects in the UK.
Apply now or send your CV directly for immediate consideration.
#J-18808-Ljbffr
AWS Data Platform Architect in London employer: Nigel Frank
Join a forward-thinking organisation that prioritises innovation and collaboration, offering a dynamic work environment for a Senior Power Platform Developer. With a strong focus on employee growth, you will have the opportunity to lead projects, mentor fellow developers, and shape the technical direction of the company while enjoying the flexibility of a hybrid working model. This role not only provides competitive remuneration but also fosters a culture of continuous learning and development, making it an excellent choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Platform Architect in London
✨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 Nigel Frank!
✨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 AWS Data Platform Architect at Nigel Frank.
✨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 Nigel Frank.
✨Apply Directly through Our Website
When you find a suitable opening like AWS Data Platform Architect at Nigel Frank, 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 AWS Data Platform Architect in London
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 Nigel Frank, 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 Nigel Frank. 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 Nigel Frank
✨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 Nigel Frank!
✨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.