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For Companies At a Glance
- Tasks: Design and guide data solutions for a leading UK retail brand.
- Company: Join one of the most recognised retail brands in the UK.
- Benefits: Opportunity to work with cutting-edge data tools and flexible working options.
- Why this job: Be part of a dynamic team driving data-driven decisions and innovation.
- Qualifications: Experience in designing data solutions and working with data warehouses required.
- Other info: Apply quickly to maximise your chances of an interview!
The predicted salary is between 48000 - 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.
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.
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
Whats 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.
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Data Solution Architect (London) 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 (London)
✨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 architecture sectors. Attend industry events or webinars where you can meet potential colleagues or mentors who might provide insights or even referrals for the position.
✨Tip Number 3
Prepare to discuss specific examples of your past work with data warehouse solutions. Highlighting your experience with KDPs and KDDs will demonstrate your capability to handle the responsibilities of the role effectively.
✨Tip Number 4
Research the company’s current data tools and architecture. Understanding their existing systems will allow you to propose relevant improvements or innovations during your interview, showcasing your proactive approach.
We think you need these skills to ace Data Solution Architect (London)
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and required skills for the Data Solutions Architect position. Tailor your application to highlight relevant experience in designing data solutions and working with data warehouse solutions.
Craft a Targeted CV: Ensure your CV is tailored specifically for this role. Emphasise your experience in complex environments, your ability to create KDPs and KDDs, and any relevant projects that showcase your expertise in data architecture.
Write a Compelling Cover Letter: Include a cover letter that outlines your passion for data solutions and how your background aligns with the company's goals. Mention specific examples of past work that demonstrate your capability to drive data-driven decisions.
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 Data Solutions Architect.
How to prepare for a job interview at Data Science Festival
✨Understand the Company and Its Data Needs
Before the interview, research the retail brand thoroughly. Understand their data architecture, current challenges, and how they leverage data for decision-making. This will help you tailor your responses to show how your expertise aligns with their needs.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data warehouse solutions and designing data solutions in complex environments. Bring examples of past projects where you successfully implemented data architectures or tools that improved data-driven decisions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Prepare to discuss hypothetical scenarios related to data architecture and how you would approach them. This demonstrates your critical thinking and ability to adapt to different situations.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's future data strategies. Inquire about their current data tools and how they envision evolving their data architecture. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
