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For Companies At a Glance
- Tasks: Design and guide data solutions for a leading UK retail brand.
- Company: Join a well-known retail brand that values innovation and data-driven decisions.
- Benefits: Enjoy flexible working options and a collaborative team environment.
- 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 is essential.
- Other info: Reach out to Courtney for a chat about this exciting opportunity!
The predicted salary is between 43200 - 72000 £ 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.
The Opportunity
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.
Skills and Experience
- Experience designing data solutions in a complex environment
- Experience working with data warehouse solutions
- Creating KDPs and KDDs
What’s in it for you?
Please send your CV in for initial screening.
Call now on 01908 465 570 or leave Courtney a message.
A member of our team will be in touch shortly to arrange our chat.
Check it out!
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Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solution Architect
✨Tip Number 1
Familiarise yourself with the latest trends in data architecture and solutions. Being able to discuss current technologies and methodologies during your interview will show that you're not only knowledgeable but also passionate about the field.
✨Tip Number 2
Network with professionals in the retail and data sectors. Attend industry events or join online forums where you can connect with others who work in similar roles. This could lead to valuable insights and even referrals for the position.
✨Tip Number 3
Prepare to discuss specific examples of your past work with data warehouse solutions. Be ready to explain how your contributions have led to improved data-driven decision-making in previous roles, as this will demonstrate your practical experience.
✨Tip Number 4
Research the company’s current data tools and architecture. Understanding their existing systems will allow you to suggest improvements or innovations during your interview, showcasing your proactive approach and strategic thinking.
We think you need these skills to ace Data Solution Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Solutions Architect. Familiarise yourself with key concepts like data architecture, data warehousing, and the specific tools mentioned in the job description.
Tailor Your CV: Highlight your relevant experience in designing data solutions and working with data warehouse solutions. Use specific examples that demonstrate your expertise and how it aligns with the company's needs.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data architecture and your ability to drive data-driven decisions. Mention any previous collaborations with partners and how you contributed to future roadmaps.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial for a role focused on design and architecture.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Technical Expertise
Be prepared to discuss your experience designing data solutions in complex environments. Highlight specific projects where you successfully implemented data warehouse solutions and how they benefited the organisation.
✨Understand the Business Context
Research the retail brand and understand their business model. Be ready to explain how your architectural designs can support their goals, particularly in making data-driven decisions.
✨Prepare for Collaborative Scenarios
Since the role involves collaboration with partners, think of examples where you've worked effectively in a team. Be ready to discuss how you contributed to future roadmaps for data tools and architecture.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your problem-solving abilities. Prepare to discuss challenges you've faced in previous roles and how you overcame them, particularly in relation to managing design components for platforms.
