At a Glance
- Tasks: Design and govern cloud-native data platforms on Google Cloud Platform.
- Company: Join a top global organisation driving cloud and data transformation.
- Benefits: Competitive day rate, flexible hybrid work, and a 12-month contract.
- Other info: Opportunity to work in a dynamic environment with leading-edge technologies.
- Why this job: Shape resilient GCP solutions and influence key stakeholders in finance transformation.
- Qualifications: Experience with GCP, data architecture, and strong stakeholder engagement skills.
The predicted salary is between 70000 - 90000 £ per year.
Day Rate: £525 (Inside IR35) per day | Location: London or Bristol, UK (2 days onsite per week) | Contract: 12 Months
Are you an experienced GCP Data Architect looking to play a key role in delivering enterprise-scale cloud and data transformation programmes? Our client, a top global organization, is looking for an experienced architect to design and govern cloud-native data platforms, combining strategic solution architecture with hands-on data architecture expertise. You'll work across large-scale finance transformation initiatives, helping shape resilient, secure and scalable GCP solutions while influencing engineering teams and senior stakeholders.
Responsibilities:
- Design end-to-end cloud-native data architectures on Google Cloud Platform
- Design conceptual, logical and physical data models
- Define ingestion, transformation, storage and reporting patterns
- Build scalable solutions using BigQuery, Dataflow, Pub/Sub, Composer and Cloud Storage
- Drive metadata, lineage, governance and reference data strategies
- Produce reusable architecture patterns and technical standards
- Collaborate with engineering teams, architects and business stakeholders
- Participate in architecture governance and technical design reviews
- Guide engineering teams through delivery and architectural best practice
- Expertise with BigQuery, Dataflow, Pub/Sub, Composer, Cloud Storage and IAM
- Advanced data modelling experience (3NF, Data Vault, Dimensional Modelling)
- Strong understanding of metadata, lineage and data governance
- Experience leading architecture across multiple delivery teams
- Excellent stakeholder engagement and communication skills
- Google Professional Cloud Architect (PCA)
- Google Professional Data Engineer (PDE)
- TOGAF certification
- Terraform
- CI/CD (Cloud Build, GitHub Actions, Jenkins)
- Hybrid or multi-cloud architecture experience
GCP Data Architect in London employer: Queen Square Recruitment
As an Operational Acceptance Test (OAT) Lead, you will join a dynamic and innovative team within a global technology and consulting organisation that prioritises employee growth and development. Our collaborative work culture fosters creativity and encourages you to take ownership of your projects, while our commitment to large-scale transformation programmes ensures that your contributions have a meaningful impact on critical national infrastructure services. With access to modern cloud technologies and a focus on service transition practices, this role offers unique opportunities for professional advancement in a complex enterprise environment.
StudySmarter Expert Advice🤫
We think this is how you could land GCP Data 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 Queen Square Recruitment 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 Queen Square Recruitment.
✨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 Queen Square Recruitment.
We think you need these skills to ace GCP Data Architect in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Queen Square Recruitment, 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 Queen Square Recruitment, 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 Queen Square Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at Queen Square Recruitment
✨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 Queen Square Recruitment.
✨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 Queen Square Recruitment.
✨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 Queen Square Recruitment.
