At a Glance
- Tasks: Design modern data architectures to solve complex business challenges and support digital transformation.
- Company: Leading firm in data architecture with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team and enjoy mentoring opportunities while working on exciting projects.
- Why this job: Make a real impact by shaping the future of data solutions across various industries.
- Qualifications: Experience in data architecture and strong problem-solving skills are essential.
The predicted salary is between 72000 - 88000 £ per year.
As a Data Architect, you will work with clients to understand complex business challenges before designing modern, scalable data architectures that enable better decisions, stronger governance and future digital capability. You’ll work across a wide variety of programmes, supporting organisations as they modernise legacy estates, migrate to cloud platforms, improve data governance and unlock the value of their information through modern data platforms and analytical services.
Our architects work closely with Solution Architects, Enterprise Architects, Security Architects, Business Analysts, Data Engineers and client stakeholders throughout the entire solution lifecycle.
- Define enterprise and solution-level data architectures
- Design conceptual, logical and physical data models
- Develop data strategies, governance frameworks and information management approaches
- Design secure and scalable data integration patterns across complex technology landscapes
- Produce architecture artefacts aligned to enterprise architecture frameworks and business strategies
- Support cloud transformation and digital modernisation programmes
- Work with multidisciplinary teams to ensure architecture remains aligned from concept through delivery
- Influence technical direction through Architecture Review Boards, Design Authorities and governance forums
- Present technical recommendations and business cases to a variety of stakeholders
- Support business development activities including technical proposals, client workshops and solution shaping where appropriate
- Contribute to the continual development of the Secure Government Data Architecture Practice
- Challenge constructively and recommend pragmatic solutions
- Build trusted relationships with clients and colleagues
- Influence technical decisions through evidence and collaboration
- Can communicate confidently with both technical and non-technical stakeholders
- Enjoy solving complex business problems
Professional Skills:
- Continuously develop their own knowledge and technical expertise
- Demonstrate strong analytical and problem-solving skills
We don’t expect candidates to have experience across all above. We’re looking for architects who understand architectural principles and can apply them using appropriate technologies.
Senior & Principal Data Architect employer: AtkinsRéalis
AtkinsRéalis is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the Secure Government division. Employees benefit from comprehensive professional development opportunities and a commitment to work-life balance, all while contributing to impactful infrastructure transformation projects in the UK. With a focus on autonomy and client engagement, this role offers a rewarding environment for those looking to make a meaningful difference in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior & Principal Data Architect
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We think you need these skills to ace Senior & Principal Data Architect
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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Craft a Tailored Cover Letter:For a full-time role at AtkinsRéalis, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AtkinsRéalis. 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 AtkinsRéalis
✨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.
