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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 with enterprise clients.
- Benefits: Enjoy a competitive salary, flexible hybrid working, and continuous professional development.
- Why this job: Be part of innovative projects that make a real impact in the tech community.
- Qualifications: Experience with GCP, data architecture, and strong programming skills required.
- Other info: Work in a dynamic, inclusive culture with opportunities for growth.
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.
Data Architect - Remoto employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - Remoto
✨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 a Data Architect.
✨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 during interviews.
✨Tip Number 3
Familiarise yourself with our company culture and values. Understanding what we prioritise can help you tailor your discussions and show how you align with our mission. This is particularly important for roles that involve leading teams and driving transformation initiatives.
✨Tip Number 4
Prepare to discuss your approach to data architecture and how you ensure data quality and compliance. We value candidates who can articulate their strategies clearly, especially when it comes to managing large-scale data environments and leading teams effectively.
We think you need these skills to ace Data Architect - Remoto
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 data modelling and ETL processes.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data architecture and how your background aligns with the role. Mention specific projects where you've successfully implemented scalable data solutions and how you can contribute to the company's goals.
Showcase Relevant Experience: When detailing your work experience, focus on your achievements in designing and maintaining large-scale data warehouses and data lakes. Use metrics to demonstrate the impact of your work, such as improvements in data quality or performance.
Highlight Continuous Learning: Mention any certifications or training you've completed related to GCP, AI, or data architecture. 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
Expect to be asked about how you translate business challenges into scalable data solutions. Prepare examples that showcase your ability to gather client requirements and design effective data architectures that meet those needs.
✨Discuss Team Leadership Experience
As a Data Architect, you'll likely lead a team of data engineers. Be ready to share your leadership style and experiences in guiding teams through implementation phases, ensuring adherence to architectural best practices.
✨Familiarise Yourself with BI Tools
Since proficiency with BI/reporting tools like Looker or PowerBI is essential, brush up on your knowledge of these tools. Be prepared to discuss how you've used them in past projects to deliver insights and drive decision-making.
