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- Tasks: Design and guide data solutions for a leading retail brand.
- Company: Join one of the UK's most recognised retail brands.
- Benefits: Enjoy a 25% bonus and discounts on household goods.
- Why this job: Be part of a dynamic team driving data-driven decisions in a collaborative environment.
- Qualifications: Experience in designing data solutions and working with data warehouses is essential.
- Other info: Work 2/3 days a week in Central London.
The predicted salary is between 48000 - 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 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 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 Solution Architect - Customer Data employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solution Architect - Customer Data
✨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 platforms used by the company. Research their current data architecture and think about how your experience can enhance their existing systems.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving complex data solutions. Be ready to explain your design process and how you collaborated with teams to achieve successful outcomes.
✨Tip Number 4
Showcase your understanding of data-driven decision-making. Think of examples where your contributions led to significant business insights or improvements, and be prepared to share these during discussions.
We think you need these skills to ace Data Solution Architect - Customer Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in designing data solutions, particularly in complex environments. Emphasise any relevant projects where you've worked with data warehouse solutions.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data architecture and how your skills align with the company's goals. Mention your experience with KDPs and KDDs to showcase your expertise.
Showcase Collaboration Skills: Since the role involves collaborating with partners, include examples in your application that demonstrate your ability to work effectively in teams and contribute to future roadmaps for data tools.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any 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 Design Experience
Be prepared to discuss specific examples of data solutions you've designed in complex environments. Highlight your thought process and the impact of your designs on previous projects.
✨Understand the Business Context
Research the retail brand and its data-driven initiatives. Demonstrating knowledge about their business model and how data architecture supports it will show your genuine interest in the role.
✨Prepare for Technical Questions
Expect questions related to data warehouse solutions, KDPs, and KDDs. Brush up on these topics and be ready to explain your approach to designing and implementing these components.
✨Emphasise Collaboration Skills
Since the role involves working with partners and influencing future roadmaps, be ready to share examples of how you've successfully collaborated with cross-functional teams in the past.
