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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 in data and AI.
- Benefits: Enjoy a competitive salary, flexible hybrid work, and continuous professional development.
- Why this job: Be part of high-impact projects with Fortune 100 clients in a dynamic, inclusive culture.
- Qualifications: Experience with GCP, data architecture, and strong programming skills required.
- Other info: Roles offer visibility in the GCP data and AI community.
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.
- 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.
- 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.
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.
Arquitecto/a Datos. Teletrabajo. employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Arquitecto/a Datos. Teletrabajo.
✨Tip Number 1
Network with professionals in the GCP data and AI community. Attend relevant meetups, webinars, or conferences to connect with industry experts and learn about the latest trends. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Showcase your hands-on experience with GCP data services in conversations. Be prepared to discuss specific projects where you've implemented solutions using BigQuery, DataProc, or other relevant tools. This will demonstrate your expertise and make you stand out.
✨Tip Number 3
Familiarise yourself with our company culture and values. Understanding what we prioritise can help you tailor your discussions during interviews, showing that you're not just a fit for the role but also for our team.
✨Tip Number 4
Prepare to discuss your leadership experience with data engineering teams. Highlight how you've guided teams through implementation phases and ensured adherence to architectural best practices, as this is crucial for the role.
We think you need these skills to ace Arquitecto/a Datos. Teletrabajo.
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. Emphasise your skills in Python, SQL, and any BI tools you've used, as well as your understanding of DevOps practices.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data architecture and how your background aligns with the company's focus on AI-driven analytics. Mention specific projects or achievements that demonstrate your expertise in GCP and data solutions.
Showcase Relevant Experience: When detailing your work experience, focus on your roles in designing and implementing scalable data architectures. Include metrics or outcomes from your previous projects to illustrate your impact and effectiveness.
Highlight Continuous Learning: Mention any certifications or training you've completed related to GCP, AWS, or other cloud platforms. This shows your commitment to professional development and staying current in the rapidly evolving tech landscape.
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 complex business challenges into scalable data solutions. This will show your ability to gather client requirements and design effective architectures that meet their needs.
✨Discuss Team Leadership Experience
Since this role involves leading a team of data engineers, be ready to talk about your leadership style and experiences. Share instances where you guided a team through implementation phases while ensuring adherence to architectural best practices.
✨Familiarise Yourself with Current Trends
Stay updated on the latest trends in data architecture and AI-driven analytics. Being able to discuss recent developments or innovations in the field will demonstrate your passion and commitment to continuous professional development.
