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For Companies At a Glance
- Tasks: Design and guide data solutions to empower data-driven decisions.
- Company: Join a leading retail brand in the UK known for innovation.
- Benefits: Competitive salary of £80,000 – £100,000 with potential perks.
- 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: Opportunity to influence future roadmaps and collaborate with partners.
The predicted salary is between 48000 - 72000 £ per year.
Data Solution Architect
Salary: £85,000 – £95,000
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, providing input into future roadmaps for data tools and architecture. As a Data Solutions Architect, you will also be responsible for managing the design of components for 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?
- £85,000 – £95,000
- 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, please send your CV to us by clicking on the Apply button below.
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Data Solution Architect 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
✨Tip Number 1
Familiarize yourself with the specific data tools and technologies used by the company. Research their current data architecture and be prepared to discuss how your experience aligns with their needs during the interview.
✨Tip Number 2
Highlight your experience in designing data solutions within complex environments. Be ready to share specific examples of past projects where you successfully implemented data-driven strategies.
✨Tip Number 3
Network with professionals in the retail and data architecture sectors. Attend relevant meetups or webinars to connect with others in the field, which could lead to valuable insights or referrals.
✨Tip Number 4
Prepare thoughtful questions about the company's future data roadmap and how they envision the role of a Data Solutions Architect contributing to that vision. This shows your genuine interest and strategic thinking.
We think you need these skills to ace Data Solution Architect
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities of a Data Solutions Architect. Highlight your experience in designing data solutions and working with data warehouse solutions in your application.
Tailor Your CV: Customize your CV to reflect your relevant skills and experiences. Emphasize your expertise in creating KDPs and KDDs, as well as any experience in complex environments.
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 specific projects or achievements that demonstrate your capabilities.
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 the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Understand the Business Context
Research the retail brand and understand their business model. Be ready to explain how your architectural decisions can support their goals and drive data-driven decision-making.
✨Familiarize Yourself with KDPs and KDDs
Since the role requires creating Knowledge Discovery Processes (KDPs) and Knowledge Discovery Documents (KDDs), brush up on these concepts. Be ready to discuss how you've implemented them in past projects.
✨Collaborative Mindset
Emphasize your ability to collaborate with partners and stakeholders. Prepare examples of how you've worked with cross-functional teams to influence future roadmaps for data tools and architecture.
