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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, hybrid working, and access to top certification programs.
- 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 professional 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.
BI Data Architect employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI Data Architect
✨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 by contributing to open-source projects or creating your own portfolio. This practical demonstration of your skills can set you apart from other candidates and highlight your expertise in real-world applications.
✨Tip Number 3
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as BigQuery and DataProc. Consider taking online courses or certifications to deepen your knowledge and demonstrate your commitment to mastering these platforms.
✨Tip Number 4
Prepare to discuss your previous projects in detail during interviews. Be ready to explain how you gathered client requirements, designed scalable solutions, and led teams. This will showcase your leadership skills and ability to translate business challenges into effective data architectures.
We think you need these skills to ace BI Data Architect
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 like Looker or PowerBI.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data architecture and how your background aligns with the role. Mention specific projects where you've successfully implemented scalable data solutions.
Showcase Relevant Experience: When detailing your work history, focus on your achievements in designing and maintaining large-scale data warehouses and data lakes. Use metrics to demonstrate the impact of your work.
Highlight Continuous Learning: Mention any certifications or training related to GCP, AWS, or Microsoft that you've completed. This shows your commitment to professional development and staying current in the field.
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 and clearly illustrate your thought process.
✨Familiarise Yourself with the Company’s Projects
Research the global technology services provider and their recent projects in the data and AI space. Understanding their strategic goals will help you align your answers with their needs and demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect technical questions related to data architecture, ETL processes, and programming languages like Python and SQL. Brush up on your knowledge and be ready to solve problems on the spot, as this will showcase your hands-on experience and expertise.
