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- Tasks: Design and optimise automated data pipelines for Google Cloud Platform.
- Company: Leading tech firm in cloud solutions, fostering innovation.
- Benefits: Competitive pay, flexible hybrid work, and opportunities for skill development.
- Why this job: Join a dynamic team and shape the future of data architecture.
- Qualifications: Experience in cloud engineering and data integration, especially with BigQuery.
- Other info: Exciting projects with potential for career advancement in a fast-paced environment.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking an experienced Cloud Data Loading Architect to design, build, and optimise automated pipelines that ingest structured, semistructured, and unstructured datasets into Google Cloud Platform (GCP), specifically BigQuery. This role will lead end-to-end data ingestion design—from source discovery and schema mapping, through transformation and data quality, to scalable, secure loads into cloud-native analytical warehouses. The ideal candidate combines strong cloud engineering skills with hands-on data integration experience and a deep understanding of BigQuery performance optimisation.
Key Responsibilities
- Design and implement high-throughput, fault-tolerant ingestion pipelines for batch and streaming data landing in BigQuery.
- Lead data ingestion architecture patterns using Cloud Storage (GCS), Dataflow, Dataproc, Composer (Airflow), Pub/Sub, BigQuery Storage Write API, and related services.
- Define data loading frameworks, mapping rules, schema evolution strategy, and metadata management.
- Create reusable ingestion blueprints that ensure governance, lineage, and auditability.
- Establish data quality checks, validation rules, reconciliation logic, and SLAs.
- Optimise BigQuery cost, storage, partitioning, clustering, and access patterns.
GCP Data Architect employer: Insight International (UK) Ltd
Contact Detail:
Insight International (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Architect
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that GCP Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving BigQuery and data ingestion pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common GCP scenarios and challenges. We recommend practising with mock interviews or discussing case studies with peers to build confidence and articulate your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace GCP Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the GCP Data Architect role. Highlight your experience with Google Cloud Platform, especially BigQuery, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool projects involving data ingestion or cloud engineering, make sure to mention them! We want to know about your hands-on experience and how you've tackled challenges in the past. Real-world examples can really set you apart.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about StudySmarter and what we stand for.
How to prepare for a job interview at Insight International (UK) Ltd
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge, especially BigQuery. Be ready to discuss how you've designed and optimised data ingestion pipelines in the past. Familiarise yourself with the specific services mentioned in the job description, like Dataflow and Pub/Sub, so you can speak confidently about your experience.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of challenges you've faced in previous roles, particularly around data quality and performance optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see how you approach problem-solving.
✨Demonstrate Collaboration
This role involves working closely with security and other teams, so be ready to discuss how you've collaborated in the past. Think of specific projects where teamwork was key to success, and highlight your communication skills and ability to work cross-functionally.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! This shows your interest in the role and the company. Consider asking about their current data architecture challenges or how they measure success in data ingestion projects. It’s a great way to demonstrate your enthusiasm and insight into the role.