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- Tasks: Lead the design of cloud-native data architectures on Google Cloud Platform.
- Company: Join a forward-thinking company transforming enterprise data landscapes.
- Benefits: Enjoy hybrid work options and opportunities for professional growth.
- Why this job: Be at the forefront of data innovation and scalability in a dynamic environment.
- Qualifications: 7+ years in data engineering, with strong GCP expertise required.
- Other info: No sponsorship available; rights to work in the UK are essential.
The predicted salary is between 48000 - 72000 £ per year.
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 must (No Sponsorship available)
- 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
Should you be interested in being considered for this position and would like to discuss further, please apply with your latest CV or share your CV directly with me at christophe.ramen@focusonsap.org.
GCP Data Architect employer: Focus on SAP
Contact Detail:
Focus on SAP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Architect
✨Tip Number 1
Familiarise yourself with the specific GCP services mentioned in the job description, such as BigQuery and Dataflow. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your expertise and readiness for the role.
✨Tip Number 2
Network with professionals in the data architecture field, especially those who have experience with GCP. Engaging in conversations on platforms like LinkedIn can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to showcase your understanding of data governance and compliance frameworks, as these are crucial for the role. Be ready to discuss how you've implemented these standards in past projects.
✨Tip Number 4
Consider obtaining or highlighting your GCP Professional Data Engineer or Professional Cloud Architect certification if you haven't already. This certification can significantly boost your credibility and show your commitment to the field.
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 engineering and architecture, especially your hands-on work with Google Cloud Platform. Emphasise your familiarity with key tools like BigQuery, Dataflow, and Pub/Sub.
Craft a Strong Cover Letter: Write a cover letter that showcases your understanding of the role and how your skills align with the company's needs. Mention specific projects where you've successfully implemented data solutions on GCP.
Highlight Relevant Certifications: If you have GCP Professional Data Engineer or Professional Cloud Architect certifications, make sure to mention them prominently in your application. This will demonstrate your expertise and commitment to the field.
Showcase Communication Skills: Since strong communication skills are essential for this role, consider including examples of how you've effectively collaborated with stakeholders or mentored teams in your previous positions.
How to prepare for a job interview at Focus on SAP
✨Showcase Your GCP Expertise
Make sure to highlight your hands-on experience with Google Cloud Platform during the interview. Be prepared to discuss specific projects where you've used BigQuery, Dataflow, or other GCP services, and how they contributed to the success of the project.
✨Demonstrate Architectural Knowledge
Be ready to explain your approach to designing data architectures. Discuss your understanding of data modelling, ETL/ELT processes, and how you ensure compliance with data governance frameworks. This will show that you can align technical solutions with business goals.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in previous roles and how you overcame them, especially in relation to scalability, security, and real-time data processing.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice articulating your thoughts clearly and confidently, especially when discussing complex technical concepts. This will help you connect with the interviewers and demonstrate your leadership capabilities.
