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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, flexible hours, and opportunities to work with cutting-edge technologies.
- Why this job: Be part of a dynamic team shaping the future of data architecture and analytics.
- Qualifications: Proficiency in AWS and experience with big data technologies like Hadoop or Spark required.
- Other info: Work 2-3 days onsite in Gloucester, collaborating with cross-functional teams.
The predicted salary is between 36000 - 60000 £ 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. As organisations collect more data than ever before, the demand for skilled data professionals continues to rise. 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.
- 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.
Data Architect / BI Architect employer: BrightBox Group Ltd
Contact Detail:
BrightBox Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect / BI Architect
✨Tip Number 1
Familiarise yourself with the latest big data technologies like Hadoop and Spark. Being able to discuss these tools confidently during your interview will show that you're up-to-date with industry trends and ready to tackle the challenges of the role.
✨Tip Number 2
Understand AWS services related to data architecture, as proficiency in these tools is crucial for the position. Consider exploring AWS training resources or certifications to demonstrate your commitment and knowledge in this area.
✨Tip Number 3
Prepare to discuss your experience with data governance and integrity. Be ready to share specific examples of how you've maintained data quality and compliance in previous roles, as this will highlight your suitability for the responsibilities outlined in the job description.
✨Tip Number 4
Network with professionals in the data architecture field, especially those who work with cross-functional teams. Engaging in conversations about their experiences can provide valuable insights and may even lead to referrals or recommendations for the position.
We think you need these skills to ace Data Architect / BI 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 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 data architecture, big data technologies, and any previous projects that demonstrate your ability to design and implement data solutions.
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 data-driven initiatives and provide examples of how you've successfully collaborated with stakeholders in the past.
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, which is crucial for a Data Architect role.
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 Business Context
Research the company’s goals and how they leverage data for strategic growth. During the interview, relate your answers back to how your skills can help the organisation achieve its objectives, showing that you understand the bigger picture.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data architecture. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to collaborate with cross-functional teams.
✨Emphasise Data Governance and Security
Given the sensitive nature of the data handled, be ready to discuss your understanding of data governance and compliance with security policies. Share examples of how you've ensured data integrity and privacy in past roles.
