At a Glance
- Tasks: Join us as a GCP Data Solution Architect, driving innovative data solutions and collaborating with teams.
- Company: Be part of a global leader in IT Consultancy, known for its advanced Insights & Data Practice.
- Benefits: Enjoy a competitive salary, remote work options, health insurance, life assurance, and a pension plan.
- Why this job: This role offers the chance to work with cutting-edge technologies and make a real business impact.
- Qualifications: GCP Certification or equivalent expertise, strong communication skills, and experience in AI/ML technologies required.
- Other info: Work from London or remotely within the UK, and collaborate with top professionals in the field.
The predicted salary is between 90000 - 100000 £ per year.
GCP Architect – Insight & Data Services – PermanentSalary guideline: £90,000 – £100,000 pa (DOE) + 10% Bonus, Pension up to 6% contributory, Health Insurance, Life Assurance etc.Base Location: London / Part Remote / UK wideThe Client:Our client is a global leader in Systems Integration and IT Consultancy. They have built out a super advanced and respected industry wide Insights & Data Practice. The Data Engineering, Architecture and Platform practice is part of global Insights & Data group; their goal is to help the organisations they work with become truly ‘insight driven’, to fully exploit their data using the convergence of Cloud and Artificial Intelligence to deliver real business value. Their objective is to marry the most innovative insights solutions with rock solid, industrialised engineering.The Role:We are looking for strong GCP Solution Architects who are passionate and focused on data solutions and Google technologies and who ideally have skills in many of the following areas:Partners with other solution architects to assess solution alignment to the overall architectural blueprint – and drive proposal writing, solution direction, pricing and costingHelps define the performance goals and metrics for the proposed solution and understands the Total Cost of Ownership (TCO) for the solutionOwns Solution Development as liaison between Sales and Delivery teams. Serve as technical liaison between Sales team, Clients, Delivery & support teams up to and including Contract negotiationsCooperate with sales team to formulate / execute a sales strategy to exceed revenue objectivesHave experience of designing architecture for data focused GCP projectsEssential Experience:Exceptional communication skills with the ability to tailor messages to different audiences. GCP Certification or equivalent cloud technology expertise.Deep understanding of architecture processes including Reviews and Design Authority.Strong expertise in AI/ML technologies, preferably including Generative AI, and experience with automated decisioning via AI, ML, or declarative rulesets.Knowledge of automation tooling such as DevOps to facilitate CI/CD approaches to IaC. Knowledge of other Cloud Platforms such Hybrid CloudKnowledge of IaaS implementation, Availability sets, GCP Networking concepts, DNS, Load Balancing, HA, DR. Experience with API architectures, UI frameworks (e.g., React, Angular), databases (e.g., Postgres, BigQuery), and data processing technologies (e.g., Spark, BQ SQL).Strong skills in areas such as Docker, Kubernetes, IaaS, PaaS, SaaS to name a fewTo apply please click the “Apply” button and follow the instructions.For a further discussion, please contact James Money on james.money@83zero.com83DATA is a boutique Tech & Data Recruitment Consultancy based within the UK. We provide high quality interim and permanent Tech & Data professionals.
GCP Data Solution Architect employer: 83zero
Contact Detail:
83zero Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Solution Architect
✨Tip Number 1
Make sure to showcase your GCP certification and any relevant cloud technology expertise during the interview. This will demonstrate your commitment to the field and your technical capabilities.
✨Tip Number 2
Familiarize yourself with the company's Insights & Data Practice. Understanding their approach to marrying innovative solutions with solid engineering will help you align your answers with their goals.
✨Tip Number 3
Prepare to discuss your experience with AI/ML technologies, especially Generative AI. Be ready to provide examples of how you've implemented these technologies in past projects.
✨Tip Number 4
Highlight your knowledge of automation tooling and CI/CD approaches. Discussing specific tools you've used, like Docker or Kubernetes, can set you apart from other candidates.
We think you need these skills to ace GCP Data Solution Architect
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the GCP Data Solution Architect position. Highlight the key responsibilities and required skills, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to emphasize your experience with GCP, data solutions, and relevant technologies mentioned in the job description. Use specific examples that demonstrate your expertise in AI/ML, architecture processes, and cloud technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data solutions and Google technologies. Address how you can contribute to the company's goal of becoming insight-driven and mention any relevant projects or achievements.
Highlight Communication Skills: Since exceptional communication skills are essential for this role, provide examples in your application that demonstrate your ability to tailor messages to different audiences and collaborate effectively with teams.
How to prepare for a job interview at 83zero
✨Showcase Your GCP Expertise
Make sure to highlight your experience with Google Cloud Platform during the interview. Discuss specific projects where you've designed architecture for data-focused solutions, and be prepared to explain how you utilized GCP services to achieve business objectives.
✨Communicate Effectively
Exceptional communication skills are essential for this role. Practice tailoring your messages to different audiences, whether technical or non-technical. Be ready to demonstrate how you've successfully communicated complex ideas in past roles.
✨Demonstrate Your AI/ML Knowledge
Since strong expertise in AI/ML technologies is a key requirement, prepare to discuss your experience with these technologies. Share examples of how you've implemented AI/ML solutions, particularly in relation to automated decision-making.
✨Understand the Total Cost of Ownership
Be prepared to discuss the Total Cost of Ownership (TCO) for proposed solutions. Show that you understand how to assess and communicate the financial implications of architectural decisions, which is crucial for aligning with the sales team and clients.