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- Tasks: Design and guide data solutions for a leading UK retail brand.
- Company: Join a well-known retail brand focused on data-driven decision making.
- Benefits: Enjoy flexible working options and competitive salary packages.
- Why this job: Be part of a dynamic team shaping the future of data architecture.
- Qualifications: Experience in designing data solutions and working with data warehouses required.
- Other info: This role offers remote work flexibility and opportunities for career growth.
The predicted salary is between 42000 - 84000 £ per year.
Joining one of the best-known retail brands in the UK as a Data Solutions Architect, you will provide design and architecture guidance across the company. They are looking for someone to use their expertise to drive the design of solutions the platform to support the business make data driven decisions. Within this role, you will collaborate with partners having input into future roadmaps for data tools and roadmaps for data architecture. As Data Solutions Architect they are also looking for this person to be responsible for managing the design for components to the platform.
Experience designing data solutions in a complex environment
Experience working with data warehouse solutions
A member of our team will be in touch shortly to arrange our chat.
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AWS Data & AI Solution Architect employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data & AI Solution Architect
✨Tip Number 1
Familiarise yourself with the latest AWS services and tools related to data architecture. Being well-versed in these technologies will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the data solutions space, especially those who have experience in retail. Engaging in conversations can provide insights into the specific challenges and needs of the industry, which you can leverage during your discussions.
✨Tip Number 3
Prepare to discuss real-world examples of how you've successfully designed data solutions in complex environments. Highlighting your past experiences will help illustrate your problem-solving skills and ability to drive data-driven decisions.
✨Tip Number 4
Stay updated on trends in machine learning and data warehousing. Understanding how these areas intersect with data architecture will position you as a forward-thinking candidate who can contribute to future roadmaps effectively.
We think you need these skills to ace AWS Data & AI Solution Architect
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the AWS Data & AI Solution Architect position. Tailor your application to highlight your relevant experience in data solutions and architecture.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data warehouse solutions and designing data solutions in complex environments. Use specific examples to demonstrate how you've successfully driven design and architecture in previous roles.
Showcase Collaboration Skills: Since the role involves collaboration with partners and input into future roadmaps, make sure to mention any past experiences where you worked effectively in a team or led collaborative projects. This will show that you can contribute positively to the company's goals.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Explain why you're passionate about data-driven decision-making and how you can help the company achieve its objectives.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AWS and data architecture in detail. Highlight specific projects where you've designed data solutions, focusing on the challenges you faced and how you overcame them.
✨Understand the Business Context
Research the retail brand and understand their business model. Be ready to explain how your data solutions can help them make data-driven decisions and improve their operations.
✨Collaborative Mindset
Emphasise your ability to work collaboratively with partners and stakeholders. Share examples of how you've successfully collaborated on projects in the past, particularly in relation to data tools and architecture roadmaps.
✨Prepare Questions
Have insightful questions ready to ask about the company's data strategy and future plans. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
