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- Tasks: Lead the development of scalable data architecture on Google Cloud Platform.
- Company: Join a global tech services provider driving transformation for enterprise clients.
- Benefits: Enjoy a competitive salary, bonus, flexible working, and professional development opportunities.
- Why this job: Be part of innovative projects with high visibility in the GCP data and AI community.
- Qualifications: Experience with GCP, data architecture, and strong programming skills required.
- Other info: Ideal for those passionate about data solutions and AI-driven analytics.
The predicted salary is between 64000 - 104000 £ per year.
We are supporting a global technology services provider in the strategic expansion of their Google Cloud Data and AI practice, with multiple opportunities available for experienced professionals across architecture and engineering. This unit is driving major transformation initiatives with flagship enterprise clients, focusing on intelligent data platforms, AI-driven analytics, and scalable cloud-native solutions.
This is a strategic and hands-on opportunity for an experienced Data Architect to lead the development of a robust, scalable data architecture on Google Cloud Platform (GCP). You’ll be responsible for defining the platform strategy, leading a team of data engineers, and ensuring high standards of data quality, compliance, and performance across enterprise-grade data environments.
Key Responsibilities:- Design and implement enterprise-level data architecture strategies on GCP.
- Gather client requirements and translate business challenges into scalable data solutions.
- Act as a trusted expert on GCP data and AI solutions, both internally and with client stakeholders.
- Design and deliver scalable architectures across data lakes, pipelines, AI/ML models, and real-time analytics.
- Work in collaboration with Google Cloud teams, ensuring alignment to best practices and cutting-edge services.
- Build reusable assets, accelerators, and frameworks to drive project delivery and consistency.
- Lead a team of data engineers through implementation phases, ensuring alignment to architectural best practices.
- Proven experience working with Google Cloud (GCP) on major data or AI transformation projects.
- Proven track record in designing and maintaining large-scale data warehouses and data lakes.
- Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub.
- Strong programming experience with Python, PySpark, and SQL.
- Hands-on experience with data modelling, ETL processes, and data quality frameworks.
- Proficiency with BI/reporting tools such as Looker or PowerBI.
- Excellent communication and stakeholder management skills.
- Google Cloud Professional certifications.
- Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS.
- Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools.
- Academic background in Computer Science, Mathematics, or a related technical field.
- Competitive salary of £80,000 - £130,000 + bonus and full benefits package.
- Flexible hybrid working from a central London base.
- Continuous professional development with access to leading certification programs (Google, AWS, Microsoft).
- Dynamic, inclusive culture supported by internal networks and equity-focused initiatives.
- Involvement in innovative, high-impact projects for Fortune 100 clients.
These are high-impact roles for technologists with strong visibility in the GCP data and AI community. If you are already working closely with Google or have a reputation within the ecosystem, we want to hear from you.
Data Architect (GCP) employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect (GCP)
✨Tip Number 1
Network with professionals in the Google Cloud community. Attend GCP meetups, webinars, or conferences to connect with industry experts and learn about the latest trends. This can help you gain insights into what companies are looking for and may even lead to referrals.
✨Tip Number 2
Showcase your hands-on experience with GCP data services. Engage in projects that allow you to work with tools like BigQuery and DataProc. Having practical examples to discuss during interviews will demonstrate your expertise and commitment to the role.
✨Tip Number 3
Familiarise yourself with the specific challenges faced by enterprise clients in data architecture. Understanding their pain points will enable you to tailor your discussions and solutions during interviews, showcasing your ability to translate business needs into technical solutions.
✨Tip Number 4
Consider obtaining relevant Google Cloud certifications if you haven't already. Certifications not only validate your skills but also show your dedication to professional development, making you a more attractive candidate for the Data Architect position.
We think you need these skills to ace Data Architect (GCP)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud Platform (GCP) and relevant data architecture projects. Use specific examples that demonstrate your expertise in designing scalable data solutions and leading teams.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job description. Emphasise your hands-on experience with GCP data services and your ability to translate business challenges into effective data solutions.
Showcase Relevant Projects: Include details of specific projects where you have implemented data architecture strategies on GCP. Highlight your role, the technologies used, and the outcomes achieved to demonstrate your impact.
Highlight Communication Skills: Since excellent communication and stakeholder management skills are crucial for this role, provide examples of how you've successfully collaborated with clients or team members in previous positions.
How to prepare for a job interview at Anson McCade
✨Showcase Your GCP Expertise
Make sure to highlight your experience with Google Cloud Platform during the interview. Be prepared to discuss specific projects where you've implemented GCP data services like BigQuery or DataProc, and how they contributed to the success of those projects.
✨Demonstrate Problem-Solving Skills
Prepare to share examples of how you've translated business challenges into scalable data solutions. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing your analytical thinking and problem-solving abilities.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you will need to engage with both technical teams and non-technical stakeholders. This will demonstrate your ability to bridge the gap between technology and business needs.
✨Familiarise Yourself with Current Trends
Stay updated on the latest trends in data architecture and AI-driven analytics. Being knowledgeable about recent advancements in GCP and related technologies will not only impress your interviewers but also show your commitment to continuous learning and professional development.
