At a Glance
- Tasks: Manage data architecture projects and collaborate on innovative blockchain solutions.
- Company: DXC Technology, a leader in tech with a focus on diversity and inclusion.
- Benefits: Hybrid working, supportive environment, and opportunities for professional growth.
- Other info: Mentorship opportunities and a commitment to continuous learning.
- Why this job: Join a dynamic team and shape the future of data architecture in blockchain.
- Qualifications: Bachelor's degree and experience in data architecture and management required.
The predicted salary is between 60000 - 80000 £ per year.
DXC Technology is committed to building diverse, inclusive teams.
We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates.
We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone.
Data Architect (Blockchain) Location Erskine, Newcastle, Farnborough or London Hybrid working applies
2/3 days in the office Candidates are required to be eligible for clearance and be a sole UK national
Essential Job Functions: Assist in managing data architecture projects, supporting project goals and timelines.
Collaborate with data architects and analysts to meet data requirements and implement solutions.
Support the implementation of data governance and quality standards to ensure data accuracy.
Participate in the development of data roadmaps while adhering to data standards.
Contribute to mentoring and guiding junior staff in data architecture best practices.
Engage in data security initiatives and data compliance efforts.
Assist in documenting project progress and challenges.
Basic Qualifications: Bachelor's degree in a relevant field or equivalent combination of education and experience.
Previous experience in industry within a similar role.
Proven experience in data architecture and management.
Proficiencies in data modeling, data warehousing, ETL processes, and database technologies.
Continuous learner that stays abreast with industry knowledge and technology.
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Data Architect (Blockchain) in London employer: DXC
At DXC Technology, we pride ourselves on being an exceptional employer, particularly for those passionate about cyber security. Our Farnborough-based Security Operations Centre fosters a collaborative and inclusive work culture, offering extensive opportunities for professional growth and development while tackling complex security challenges. With a competitive salary, flexible benefits, and a commitment to continuous learning, you'll find a rewarding environment where your contributions truly matter.
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We think this is how you could land Data Architect (Blockchain) in London
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We think you need these skills to ace Data Architect (Blockchain) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at DXC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at DXC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
