At a Glance
- Tasks: Lead the design and development of our innovative data platform for clinical trials.
- Company: Join a fast-growing tech scale-up transforming clinical research with AI.
- Benefits: Enjoy a collaborative culture, flexible work, and opportunities for continuous learning.
- Other info: Be part of a diverse team united by a mission to enhance human health.
- Why this job: Make a real impact on healthcare by improving clinical trial efficiency and outcomes.
- Qualifications: Experience in building data platforms and coaching engineers; hands-on coding required.
The predicted salary is between 63000 - 77000 £ per year.
At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster.
We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 20 nationalities. Collaboration, flexibility, and continuous learning are part of our DNA. At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way. Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide.
We’re looking for a Principal Architect to join our Data Layer squad and contribute to our mission of transforming clinical research through data-driven insights. This is a hands-on, player-coach role: you’ll own the design of the CluePoints data layer and build it with the squad. You’ll report to our GM, with a dotted line to the VP Engineering.
Requirements
- Must Haves
- Has built and evolved a metadata-driven or schema-flexible data platform in production.
- Currently writes production code; this is a hands-on role.
- Audit-grade thinking: data lineage, versioning and attributable change, in any regulated domain.
- Can describe living with schema drift in production: what broke and what they changed.
- Separates structural mapping from semantic meaning in data design.
- Uses AI tools in day-to-day delivery with explicit verification and evaluation of the output.
- Track record of coaching other engineers through code.
- Designs for the team available, with scope sized to a small squad.
- Communicates architecture clearly to engineering, QA and business leadership.
Nice To Haves
- Experience of multi-tenant SaaS with strong data segregation.
- Background in semantic layers, ontologies, knowledge graphs, or schema and ontology matching.
- Familiarity with clinical and health data standards such as CDISC, ODM, FHIR or OMOP, or with GxP and 21 CFR Part 11 (clinical knowledge can be learned on the job).
- Visible hands-on work, such as recent open-source commits, contributions to projects like OpenLineage, DataHub, Iceberg, HAPI FHIR or OHDSI, or conference talks.
Principal Data Platform Architect employer: CluePoints
CluePoints is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior AI-Driven Test Engineer. With a strong focus on employee growth, you will have the opportunity to mentor others while working with cutting-edge technologies in a supportive environment. Located in the United Kingdom, CluePoints offers a dynamic work atmosphere that encourages creativity and professional development, ensuring that your contributions lead to meaningful advancements in quality engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Platform Architect
✨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 CluePoints!
✨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 Principal Data Platform Architect at CluePoints.
✨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 CluePoints.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Platform Architect at CluePoints, 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 Principal Data Platform Architect
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 CluePoints, 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 CluePoints. 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 CluePoints
✨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 CluePoints!
✨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.
