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- 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 options and be part of an innovative team shaping the future.
- Why this job: Be a key player in leveraging data for strategic growth and operational efficiency.
- 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
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 online communities or forums can help you learn from others' experiences and gain insights into best practices in data architecture.
✨Tip Number 3
Network with professionals in the data architecture field, especially those who have experience with SC clearance. Attend industry events or webinars to connect with potential colleagues and learn about their career paths.
✨Tip Number 4
Prepare to discuss your experience with data governance and compliance during interviews. Be ready to provide examples of how you've ensured data integrity and adhered to security policies in previous roles.
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 the required skills, especially in AWS services and big data technologies like Hadoop and Spark.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your proficiency in data architecture, data management, and any experience with compliance and data security.
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 your active SC clearance and how your background makes you a perfect fit for the role.
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. Bring examples of past projects where you successfully implemented data architecture solutions, as this will demonstrate your proficiency and hands-on experience.
✨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 specific needs and contribute to their goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would approach designing a data architecture solution for a hypothetical project, and be ready to explain your thought process clearly.
✨Emphasise Compliance and Security Awareness
Given the sensitive nature of the data handled, highlight your understanding of data security and privacy policies. Discuss any relevant experiences where you ensured compliance and maintained data integrity in your previous roles.
