At a Glance
- Tasks: Architect and evolve data models across key domains while collaborating with teams.
- Company: Join Women in Data, a supportive community focused on inclusion and growth.
- Benefits: Competitive salary, company bonus, pension, and wellbeing services.
- Other info: Flexible working arrangements and part-time options available.
- Why this job: Transition into Data Architecture with comprehensive training in cutting-edge technologies.
- Qualifications: Experience in data architecture and knowledge of Kimball and Data Vault methodologies.
The predicted salary is between 36000 - 60000 £ per year.
We’re offering an exciting opportunity for a driven and passionate individual looking to transition into the world of Data Architecture. If you come from a background in data engineering, analytics, or solution architecture and are eager to take the next step in your career, this role could be your perfect fit.
You’ll be supported with comprehensive training in cutting-edge technologies including Azure and Databricks to grow into a Data Architect.
Key Responsibilities- Architect and evolve enterprise-wide data models across key domains like Product, Customer, Supply, Finance, and Location
- Apply Kimball dimensional modelling for consumption layer design and Data Vault methodology for raw and business layer integration
- Define and maintain data architecture principles, patterns, and standards
- Collaborate with data platform teams on governance, quality, lineage, and optimisation
- Consult with squads on physical data modelling
- Contribute to metadata and data catalog initiatives to improve discoverability and reuse
- Support our shift to a Data Product Ownership model, enabling domain-aligned teams
- Experience in architecture in a complex organisation
- Expertise in Kimball and Data Vault 2.0 methodologies
- Data modelling, metadata, and governance knowledge
- Ability to define and drive architecture principles, patterns, and best practices
- Excellent communication and stakeholder management skills
- Retail industry experience is a bonus but not a deal breaker
- Discretionary company bonus
- Company pension up to 7% matched
- Company Car allowance of £5,700
- 15% colleague discount in store and online
- Wellbeing services and employee assistance programs
- ASDA Allies Inclusion Networks – inclusion and belonging initiatives
- Excellent parental leave policies including maternity & adoption leave, paternity leave, shared parental leave, neonatal care leave, and fertility treatment support
We welcome applications from candidates seeking part-time hours, flexible working arrangements, or job share opportunities. For questions about the role, please email clare.tempest@asda.uk.
Hybrid working with a minimum of 3 days per week in a Home Office. Additional in-person requirements may apply by area.
We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK. Visit: www.womenindata.co.uk to join our community.
Stay connected! Follow us on LinkedIn for updates on career opportunities and more.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Analyst
Industries: Information Services
Data Architect in Leeds employer: Women in Data®
Women in Data® is an exceptional employer that champions diversity and innovation within the tech industry. With a strong commitment to employee growth, you will benefit from generous annual leave, ongoing development opportunities, and a collaborative work culture that values mentorship and technical excellence. Join us in a role that not only enhances your career but also contributes to meaningful initiatives in data and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Leeds
✨Network Like a Pro
Get out there and connect with people in the data field! Attend meetups, webinars, or even local events. The more you engage with others, the better your chances of landing that Data Architect role.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with Kimball and Data Vault methodologies. Share specific examples of how you've applied these skills in past projects to really impress them!
✨Ask Questions
During interviews, don’t just wait for them to ask you questions. Show your interest by asking about their data architecture challenges and how you can contribute. This shows you're proactive and genuinely interested in the role.
✨Apply Through Our Website
We recommend applying directly through our website for the best chance at landing the job. It’s a straightforward process, and you’ll be one step closer to joining the Women in Data community!
We think you need these skills to ace Data Architect in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience in data engineering, analytics, or solution architecture, and don’t forget to mention any familiarity with Kimball and Data Vault methodologies.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for data architecture and how your background makes you a great fit for the role. Be sure to mention why you're excited about working with Women in Data.
Showcase Your Skills:In your application, be specific about your skills in data modelling, governance, and architecture principles. Use examples from your past experiences to demonstrate how you've applied these skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves, and you’ll find all the details you need right there!
How to prepare for a job interview at Women in Data®
✨Know Your Data Models
Make sure you brush up on your knowledge of Kimball and Data Vault methodologies. Be ready to discuss how you've applied these in past roles or how you would approach them in this new position. Showing that you understand these concepts will impress the interviewers.
✨Showcase Your Communication Skills
As a Data Architect, you'll need to collaborate with various teams. Prepare examples of how you've effectively communicated complex data concepts to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Understand the Company’s Data Needs
Research Women in Data and Asda's current data architecture and challenges. Tailor your answers to show how your skills can specifically address their needs. This shows initiative and a genuine interest in the role.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data governance practices or how they envision the shift to a Data Product Ownership model. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
