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- Tasks: Design and implement data architecture solutions for effective data management and analytics.
- Company: Join a leading company at the forefront of data transformation and innovation.
- Benefits: Enjoy hybrid working options and be part of a dynamic team shaping the future of data.
- Why this job: Be part of an innovative environment that values data-driven insights and strategic growth.
- Qualifications: Proficiency in AWS and big data technologies like Hadoop or Spark; active SC clearance required.
- Other info: Work closely with cross-functional teams to translate data needs into technical specifications.
The predicted salary is between 43200 - 72000 £ per year.
Location: Hybrid working 2-3 days onsite Gloucester
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.
- 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.
Data Architect employer: BrightBox Group
Contact Detail:
BrightBox Group 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 data storage, processing, and analytics.
✨Tip Number 2
Stay updated on the latest big data technologies like Hadoop and Spark. Engaging in relevant projects or contributing to open-source initiatives can help you gain practical experience and demonstrate your expertise.
✨Tip Number 3
Network with professionals in the data architecture field. Attend industry events, webinars, or local meetups to connect with others and learn about potential job opportunities that may not be advertised widely.
✨Tip Number 4
Since active SC clearance is essential, ensure that your clearance status is up-to-date. If you don’t have it yet, consider exploring how to obtain it, as this could significantly enhance your candidacy 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 of a Data Architect. Familiarise yourself with key concepts like data architecture solutions, big data technologies, and data governance.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your proficiency in AWS services, 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 any spelling or 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
✨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 challenges they might be facing. This will allow you to tailor your responses to show how your skills can directly address their needs and contribute to their goals.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data architecture problems. Practice articulating your thought process and decision-making steps clearly, as this will showcase your analytical skills and ability to work under pressure.
✨Emphasise Compliance and Security Awareness
Given the sensitive nature of the data handled, be ready to discuss your understanding of data security and privacy policies. Share examples of how you have ensured compliance in previous roles to reassure them of your commitment to data integrity.
