At a Glance
- Tasks: Lead the design of a cutting-edge data platform and drive AI innovation.
- Company: Join a renowned international digital business with a strong consumer focus.
- Benefits: Earn up to £100,000 plus a comprehensive benefits package.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Shape the future of data architecture and make a real impact on digital growth.
- Qualifications: Experience in Data Platform Architecture and strong skills in Terraform and dbt.
The predicted salary is between 63000 - 77000 £ per year.
This is a fantastic opportunity to join a large-scale consumer-focused digital organisation, taking ownership of the architectural direction of a modern data platform that sits at the heart of business decision-making, digital growth and AI innovation.
THE COMPANY: Our client is a highly recognised international digital business with a strong consumer presence and a global audience. Operating across multiple regions, the organisation has invested heavily in its data capabilities and is continuing to transform how data powers decision-making, customer experiences and emerging AI initiatives.
As part of a wider data and technology transformation, they are looking for an experienced Data Platform Architect to help shape the future of their data ecosystem and engineering standards.
THE ROLE: You will take ownership of data platform architecture, standards and solution design across a growing engineering function. Working closely with platform engineers, analytics engineers, product managers, governance teams and senior stakeholders, you will help ensure data is scalable, trusted and ready to support AI-driven initiatives.
Key responsibilities include:
- Designing and evolving the organisation's cloud-based data platform architecture
- Assessing and recommending new technologies, tools and data solutions across the business
- Defining architectural standards, best practices and reusable patterns across engineering teams
- Supporting data governance, security, metadata and data quality initiatives
- Providing hands-on guidance around Terraform, dbt, CI/CD, DataOps and platform engineering practices
- Partnering with stakeholders to understand requirements and translate them into scalable technical solutions
- Driving improvements around data lineage, observability, modelling standards and platform governance
- Supporting AI readiness programmes, semantic layer initiatives and self-service data capabilities
YOUR SKILLS AND EXPERIENCE: You will bring strong capability in:
- Data Platform Architecture or Data Solutions Architecture experience within modern cloud environments
- Strong experience with Terraform and Infrastructure as Code (IaC)
- Commercial experience using dbt within modern ELT ecosystems
- Strong understanding of DataOps, CI/CD and engineering best practices
- Experience working with governance, security, privacy or risk functions
- Excellent stakeholder management skills with the ability to influence, coach and educate technical team
THE BENEFITS: You will receive a salary of up to £100,000 depending on experience, alongside a comprehensive benefits package and the opportunity to play a key role in shaping a modern, AI-ready data platform.
HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
556664/MB in London employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land 556664/MB 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 Harnham - Data & Analytics Recruitment Careers!
✨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 556664/MB at Harnham - Data & Analytics Recruitment Careers.
✨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 Harnham - Data & Analytics Recruitment Careers.
✨Apply Directly through Our Website
When you find a suitable opening like 556664/MB at Harnham - Data & Analytics Recruitment Careers, 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 556664/MB 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 Harnham - Data & Analytics Recruitment Careers, 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 Harnham - Data & Analytics Recruitment Careers. 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 Harnham - Data & Analytics Recruitment Careers
✨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 Harnham - Data & Analytics Recruitment Careers!
✨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.