At a Glance
- Tasks: Shape data solutions and guide design across exciting projects in a collaborative environment.
- Company: Reputed client leveraging data and AI for impactful business solutions.
- Benefits: Contract role with potential extension, flexible office days, and a dynamic work culture.
- Other info: Opportunity to influence design principles and collaborate with diverse teams.
- Why this job: Make a real impact by transforming complex data needs into enterprise-ready designs.
- Qualifications: Strong experience in Data Solution Architecture or Data Engineering with a focus on Data Science.
The predicted salary is between 72000 - 88000 £ per year.
Location: Paddington
Duration: 6 months possible extension
Our client is leveraging the power of data and AI to solve business problems, improve customer experience, and drive commercial value. This is an architecture-led role within the Data Architecture & Design team, helping shape how data solutions are designed, governed, and made supportable across multiple business areas.
What you'll be doing:
- Provide architecture and design guidance across a portfolio of data projects, ensuring solutions align with platform strategy and future changes.
- Guide functional design for data solutions (not hands-on development), producing clear design artefacts consumed by engineering teams.
- Bring Personalisation into the wider Enterprise Data Science discipline by creating building blocks that move beyond one-off datasets.
- Design reusable patterns within the existing cloud-hosted (Azure) data platform.
- Assess impacts of internal and external change on the data estate, shaping solution options and managing trade-offs.
- Support improved visibility, resilience, and governance for data pipelines used in Personalisation.
- Work collaboratively with Product Managers, Data Governance, Data Analytics, Security teams, and fellow architects to influence design principles and decisions.
- Help shape solution roadmaps across 3, 6, and 12-month horizons with key stakeholders.
What you'll bring:
- Strong experience in Data Solution Architecture (or a strong Data Engineering background focused on Data Science inputs/outputs).
- Ability to manage stakeholders effectively, including challenging requirements constructively.
- Confidence translating complex technical concepts for non-technical audiences.
- Clear understanding of data platforms/data lakes and how data science outputs connect into production-ready solutions.
- Comfort working in ambiguity-balancing guidance, options, and decision-making when requirements evolve.
- A collaborative, relationship-driven style (not directive), with a focus on practical outcomes like reusability, supportability, and governance.
Additional information:
- Role focus: Personalisation (real-time experiences across website/app journeys) and building a more enterprise-ready approach for data pipelines.
- Type: Contract role (6 months initially) with a possibility of extension.
- Start: ASAP (14th June).
- Office anchor day: Thursday or the last Friday of the month (additional in-office days not specified).
- IR35: In scope.
If you're an experienced Data Solution Architect who enjoys shaping data products, patterns, and roadmaps while turning complex Personalisation needs into enterprise-ready designs, we'd love to hear from you. Apply now to be considered for this opportunity with a reputed client.
Data Solution Architect in London employer: Stryker Corporation
Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Solution Architect in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Stryker Corporation before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Stryker Corporation.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Stryker Corporation.
We think you need these skills to ace Data Solution Architect in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Stryker Corporation, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Stryker Corporation, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Stryker Corporation’s attention and show the tangible impact of your work.
How to prepare for a job interview at Stryker Corporation
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Stryker Corporation.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Stryker Corporation.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Stryker Corporation.
