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For Companies At a Glance
- Tasks: Design and maintain data architecture for cutting-edge BI and analytics solutions.
- Company: Join a leading B2C service organisation with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by shaping the future of data solutions in a dynamic environment.
- Qualifications: Extensive experience in data architecture and strong SQL skills required.
- Other info: Work on exciting greenfield projects and collaborate with diverse teams.
The predicted salary is between 36000 - 60000 £ per year.
The Company Location: Northeast or London
Type: Permanent | Hybrid
Nigel Wright Tech are delighted to be partnering with a large B2C service organisation in their search for a Data Architect. You will be responsible for defining and maintaining the overall data architecture strategy that enables the company's BI and self-serve analytics capabilities. The role will establish the technical vision, standards and frameworks that enable scalable, efficient and secure data solutions across the organisation.
The Role
- Conduct comprehensive assessment of existing architectures across existing data infrastructure
- Define and maintain the enterprise data architecture vision and roadmap, ensuring alignment with business objectives and the BI product strategy
- Establish architectural patterns and frameworks (such as Medallion architecture, data vault or dimensional modelling) for consistent implementation across data solutions
- Define and document standard business entities, metrics and KPIs to ensure consistency across reporting
- Work with Group BI and Data Director to define strategy and frameworks
- Facilitate architecture discussions and workshops with technical and non-technical stakeholders
The Requirements
This is an exciting role, whereby you will have strategic input and the opportunity to work on major greenfield projects across the organisations data estate. Key requirements include:
- Extensive experience in data architecture, with proven track record of designing and implementing enterprise-scale data solutions
- Deep expertise in data modelling techniques with strong SQL proficiency
- Good knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue, knowledge of Azure or GCP beneficial) and modern data engineering patterns including ETL/ELT
- Experience with data governance frameworks, data quality tools and ensuring compliance with security and regulatory requirements
- Strong business acumen with ability to translate business requirements into technical architecture and understand how data enables business outcomes
Data Architect employer: Nigel Wright Group
Contact Detail:
Nigel Wright Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially those involving cloud platforms like AWS. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss architectural patterns and frameworks, and how you've applied them in past roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Architects like you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience in data architecture and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our BI and analytics capabilities. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t forget to showcase your technical expertise, especially in SQL and cloud platforms like AWS. We love seeing specific examples of how you've implemented data solutions in the past!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Nigel Wright Group
✨Know Your Data Architecture Inside Out
Make sure you brush up on your data architecture knowledge before the interview. Familiarise yourself with key concepts like Medallion architecture and data vaults, as well as the specific frameworks mentioned in the job description. Being able to discuss these confidently will show that you're not just a candidate, but a potential expert.
✨Showcase Your SQL Skills
Since strong SQL proficiency is a must-have for this role, prepare to demonstrate your skills. You might be asked to solve a problem or explain how you would approach a data modelling task. Practising common SQL queries and being ready to discuss your past experiences with SQL will give you an edge.
✨Understand the Business Side
This role requires a solid understanding of how data impacts business outcomes. Be prepared to discuss how you've translated business requirements into technical architecture in your previous roles. Highlighting your business acumen will show that you can bridge the gap between technical and non-technical stakeholders.
✨Prepare for Collaborative Discussions
Since you'll be facilitating discussions with both technical and non-technical stakeholders, think about examples from your past where you've successfully navigated such conversations. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively across different audiences.