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- Tasks: Design and optimize data solutions on Google Cloud Platform while collaborating with cross-functional teams.
- Company: Join a dynamic team in London, working on cutting-edge cloud technologies.
- Benefits: Enjoy a hybrid work model and competitive daily rates.
- Why this job: Be at the forefront of data architecture, making impactful decisions in a collaborative environment.
- Qualifications: 8+ years in data architecture with expertise in GCP and strong SQL/Python skills required.
- Other info: Contract position with potential extensions; rights to work in the UK is essential.
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Position: GCP Data Architect
Employment Type: Contract, Full time
Start: ASAP
Location: London – Hybrid
Languages: English
Role
We are seeking an experienced GCP Data Architect to lead the design and development of cloud-native data architectures on Google Cloud Platform. This role is crucial in transforming our client’s enterprise data landscape to support scalability, security, and innovation.
As a Data Architect, you will define architectural standards, guide engineering teams, and ensure our data solutions align with both technical and business goals.
Key Skills
- 7+ years of experience in data engineering or data architecture roles
- 3+ years of hands-on experience architecting data solutions on Google Cloud Platform
- Strong knowledge of BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Functions
- Proficient in data modeling, data warehousing, and ETL/ELT architectures
- Experience with Infrastructure as Code (e.g., Terraform, Deployment Manager)
- Deep understanding of data governance, security, and compliance frameworks
- GCP Professional Data Engineer or Professional Cloud Architect certification
- Experience with hybrid or multi-cloud architectures
- Familiarity with streaming platforms like Apache Kafka or Google Pub/Sub
- Background in machine learning pipelines and AI integration on GCP
- Consulting background is a plus.
- Strong communication skills (oral & written)
- Rights to work in the UK is a must (No Sponsorship available)
Responsibilities
- Design and implement enterprise-scale data architectures using GCP services like BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Dataproc
- Define data modeling standards, integration patterns, and governance frameworks
- Collaborate with stakeholders across engineering, analytics, product, and operations to understand requirements and translate them into scalable data solutions
- Provide architectural leadership in building modern data platforms that support both batch and real-time processing
- Guide and mentor engineering teams on best practices in GCP architecture and data engineering
- Ensure data security, compliance (e.g., GDPR, HIPAA), and lifecycle management standards are in place
- Evaluate and recommend GCP-native and third-party tools to optimize performance and cost
If you are interested in this position and wish to discuss further, please apply with your latest CV or share your CV directly with me at (emailprotected).
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GCP Data Architect employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Architect
✨Tip Number 1
Make sure to showcase your hands-on experience with GCP tools like BigQuery and Dataflow. Highlight specific projects where you've implemented scalable data architectures, as this will demonstrate your expertise directly related to the role.
✨Tip Number 2
Network with professionals in the GCP community. Attend meetups or webinars focused on Google Cloud technologies to connect with potential colleagues or hiring managers who might refer you for the position.
✨Tip Number 3
Prepare to discuss your problem-solving approach during interviews. Be ready to share examples of how you've tackled data-related issues in past roles, as this will highlight your analytical skills and ability to work under pressure.
✨Tip Number 4
Familiarize yourself with the latest trends in data governance and compliance, especially in relation to GCP. Being knowledgeable about these topics will show that you are proactive and understand the importance of security in data architecture.
We think you need these skills to ace GCP Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and cloud computing, specifically with Google Cloud Platform. Emphasize relevant projects and skills that align with the job description.
Craft a Strong Cover Letter: Write a cover letter that showcases your expertise in GCP and your ability to design scalable data architectures. Mention specific tools and technologies you have used, such as BigQuery and Dataflow, to demonstrate your fit for the role.
Highlight Key Skills: In your application, clearly outline your experience with SQL, Python, and ETL/ELT pipelines. Provide examples of how you've optimized data processing and ensured data security in previous roles.
Showcase Collaboration Experience: Since the role involves working with cross-functional teams, include examples of past collaborations with data engineers, analysts, and business stakeholders. Highlight your communication skills and ability to influence others.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your GCP Expertise
Make sure to highlight your experience with Google Cloud Platform, especially with tools like BigQuery, Dataflow, and Pub/Sub. Be prepared to discuss specific projects where you designed and implemented data architectures.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've tackled data-related issues in the past. Discuss your approach to troubleshooting and optimizing data processing and storage solutions.
✨Communicate Effectively
Since collaboration is key for this role, practice articulating your thoughts clearly. Be ready to explain complex technical concepts in a way that non-technical stakeholders can understand.
✨Understand Data Governance and Compliance
Familiarize yourself with best practices in data security and governance. Be ready to discuss how you've ensured compliance in previous roles and how you would apply these principles in the new position.
