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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, with 2-3 days onsite in Gloucester and competitive perks.
- Why this job: Be part of a dynamic 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 is inside IR35, ensuring compliance with regulations.
The predicted salary is between 43200 - 72000 £ per year.
Location: Hybrid working 2-3 days onsite Gloucester
Inside IR35
Company Overview: 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.
Data Architect - Big Data employer: BrightBox Group
Contact Detail:
BrightBox Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - Big Data
✨Tip Number 1
Familiarise yourself with the specific AWS services and tools mentioned in the job description. Being able to discuss your hands-on experience with these technologies during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Brush up on your knowledge of big data technologies like Hadoop and Spark. Consider working on a small project or case study that showcases your ability to implement these frameworks, as practical examples can make a strong impression.
✨Tip Number 3
Since this role requires active SC clearance, ensure you have all necessary documentation ready and be prepared to discuss your clearance status openly. This will show your readiness and commitment to the position.
✨Tip Number 4
Network with professionals in the data architecture field, especially those who have experience in hybrid working environments. Engaging with industry peers can provide insights and potentially lead to referrals that could help you land the job.
We think you need these skills to ace Data Architect - Big Data
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Architect in the context of big data. Familiarise yourself with the specific technologies mentioned in the job description, such as AWS services and big data frameworks like Hadoop and Spark.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your proficiency in AWS and any hands-on experience with big data technologies. Use specific examples to demonstrate your expertise in data architecture and analytics.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role. Mention your understanding of the company's goals and how your skills can contribute to their data-driven initiatives. Be sure to address the importance of data security and compliance in your application.
Proofread Your Application: Before submitting your application, take the time to proofread all documents. Check for spelling and grammatical errors, and ensure that your information is clear and concise. A well-presented application reflects your attention to detail, which is crucial for a Data Architect.
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 hands-on expertise.
✨Understand the Company’s Data Needs
Research the company’s current data landscape and challenges. During the interview, articulate how your skills can address their specific data requirements and contribute to their goals, showing that you are aligned with their vision.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, be ready to share examples of how you've effectively collaborated with stakeholders in the past. Discuss how you gathered data requirements and translated them into technical specifications.
✨Highlight Compliance Awareness
Given the sensitive nature of the data handled, it’s crucial to demonstrate your understanding of data security and privacy policies. Be prepared to discuss how you have ensured compliance in previous roles and your approach to maintaining data integrity.
