Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement data architecture solutions while collaborating with teams to meet data needs.
- Company: Join a leading company at the forefront of data transformation and analytics.
- Benefits: Enjoy hybrid working, flexible hours, and opportunities for professional growth.
- Why this job: Be part of an innovative team shaping the future of data architecture and analytics.
- Qualifications: Proficiency in AWS and big data technologies like Hadoop or Spark; active SC clearance required.
- Other info: This role offers a chance to work with cutting-edge technologies in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a skilled Data Architect to join our team. The ideal candidate will be responsible for designing and implementing data architecture solutions that align with the organisation's goals and objectives. You will work closely with stakeholders to understand their data needs and translate them into technical specifications. The data landscape is rapidly evolving, with businesses increasingly relying on data-driven insights to enhance operational efficiency and drive strategic growth. Our company is at the forefront of this transformation, leveraging the latest technologies and methodologies to harness the power of data. By joining us, you will be part of an innovative environment that is shaping the future of data architecture and analytics.
Key Responsibilities:
- Design and implement comprehensive data architecture solutions that promote effective data management and analytics capabilities.
- Utilise big data technologies to efficiently process and analyse substantial volumes of data.
- Develop and maintain robust data models, metadata, and data flow diagrams to support data governance and ensure data integrity.
- Collaborate with cross-functional teams to gather and understand data requirements, translating these insights into precise technical specifications.
- Uphold compliance with data security and privacy policies, especially due to the sensitive nature of the data we handle.
Required:
- Proficiency in AWS services and tools related to data storage, processing, and analytics.
- Strong experience with big data technologies such as Hadoop, Spark, or similar frameworks.
- Active SC clearance is essential for this role.
Contact Detail:
BrightBox Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarise yourself with AWS services and tools, as they are crucial for this role. Consider taking online courses or certifications to deepen your understanding and showcase your skills in your discussions.
✨Tip Number 2
Network with professionals in the data architecture field, especially those who have experience with big data technologies like Hadoop and Spark. Engaging in relevant forums or LinkedIn groups can provide insights and potential referrals.
✨Tip Number 3
Stay updated on the latest trends and best practices in data architecture. Reading industry blogs or attending webinars can help you speak knowledgeably about current challenges and solutions during interviews.
✨Tip Number 4
Prepare to discuss your experience with data governance and compliance, particularly regarding data security and privacy policies. Being able to articulate your approach to these issues will demonstrate your readiness for the role.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Architect position. Familiarise yourself with key terms like data architecture, big data technologies, and AWS services.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that match the job description. Emphasise your proficiency in AWS, big data technologies, and any previous roles that involved data architecture.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data architecture and your understanding of the company's goals. Mention how your skills can contribute to their innovative environment and address the importance of data security and compliance.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at BrightBox Group Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS services and big data technologies like Hadoop and Spark. Highlight specific projects where you successfully implemented data architecture solutions, as this will demonstrate your technical proficiency.
✨Understand the Company's Data Needs
Research the company’s current data landscape and be ready to discuss how your skills can help meet their specific data requirements. This shows that you are proactive and genuinely interested in contributing to their goals.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data challenges or design a data architecture solution. Practising these scenarios beforehand will help you articulate your thought process clearly during the interview.
✨Emphasise Compliance and Security Awareness
Given the sensitive nature of the data handled, be sure to discuss your understanding of data security and privacy policies. Share examples of how you have upheld compliance in previous roles to reassure them of your commitment to data integrity.
