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For Companies At a Glance
- Tasks: Design and guide data solutions for a leading retail brand in London.
- Company: Join one of the UK's most recognised retail brands, known for innovation.
- Benefits: Enjoy a 25% bonus and discounts on household goods.
- Why this job: Be part of a dynamic team shaping data-driven decisions in retail.
- Qualifications: Experience in designing data solutions and working with data warehouses required.
- Other info: Work 2/3 days a week in the office, fostering collaboration.
The predicted salary is between 43200 - 72000 £ per year.
Location: Central London 2/3 days per week in the office.
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 for the platform to support the business in making 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 a 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?
- 25% Bonus
- Discounts on numerous household goods
If you would like to be considered for the role and feel you would be an ideal fit with our team then please send your CV to us by clicking on the Apply button below.
Data Architect - Retail employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - Retail
✨Tip Number 1
Network with professionals in the retail and data architecture sectors. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends in data solutions.
✨Tip Number 2
Familiarise yourself with the specific data tools and technologies used by leading retail brands. This knowledge can help you speak confidently about how you can contribute to their data-driven decision-making processes.
✨Tip Number 3
Prepare to discuss your previous experience in designing data solutions, particularly in complex environments. Be ready to share specific examples of how your work has positively impacted business outcomes.
✨Tip Number 4
Research the company’s current data architecture and any recent projects they’ve undertaken. This will allow you to tailor your discussions during interviews and demonstrate your genuine interest in their operations.
We think you need these skills to ace Data Architect - Retail
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 terms like KDPs and KDDs, as well as the specific skills required for the role.
Tailor Your CV: Customise your CV to highlight relevant experience in designing data solutions and working with data warehouse solutions. Use specific examples that demonstrate your expertise in complex environments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data architecture and your understanding of the retail sector. Mention how your skills can help the company make data-driven decisions and contribute to their future roadmaps.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Solutions Architect.
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, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Retail Landscape
Familiarise yourself with the retail industry and the specific challenges it faces regarding data management. This knowledge will allow you to tailor your responses and show how your skills can directly benefit the company’s data-driven decision-making.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach designing components for the platform or managing data architecture roadmaps, as these scenarios are likely to come up during the interview.
✨Ask Insightful Questions
Demonstrate your interest in the role by preparing thoughtful questions about the company's data strategy and future projects. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.
