At a Glance
- Tasks: Design and deliver innovative data architecture solutions for enterprise clients.
- Company: Join a leading tech consultancy driving digital transformation.
- Benefits: Hybrid working model, long-term projects, and opportunities for influence.
- Other info: Inclusive workplace with a human touch in the hiring process.
- Why this job: Shape the future of data platforms and make a real impact.
- Qualifications: Experience as a Data Architect in large-scale environments and cloud platforms.
The predicted salary is between 72000 - 88000 £ per year.
We are seeking experienced Data Architects to join a major transformation programme, helping enterprise organisations modernise their data capabilities through cloud-first architecture and strategic data initiatives.
This is an opportunity to play a leading role in shaping scalable, future-ready data platforms across complex environments.
The Opportunity
Our client is a well-established technology consultancy delivering large-scale digital and data transformation programmes for enterprise customers.
With a significant pipeline of projects, they are expanding their architecture capability and require experienced Data Architects to support the design, governance and delivery of modern data ecosystems.
Why Join?
- Long-term programme work with strong project longevity
- Opportunity to influence enterprise-wide data strategy
- Work on high-profile transformation initiatives across multiple sectors
- Hybrid working model with London-based collaboration
- Fast-moving interview process
Key Responsibilities
- Design and deliver enterprise-scale data architecture solutions
- Define target-state data platforms, roadmaps and architectural standards
- Develop cloud-first data strategies aligned to business objectives
- Establish and promote data governance, quality and best-practice frameworks
- Support the modernisation and migration of legacy data environments
- Work closely with business, technology and leadership stakeholders
- Drive architectural decision-making across complex transformation programmes
- Ensure data solutions are scalable, secure and aligned to organisational goals
Requirements
- Proven experience as a Data Architect within large-scale enterprise environments
- Strong understanding of data architecture principles, frameworks and governance
- Hands-on experience with cloud platforms including AWS, Azure and/or GCP
- Experience designing modern data platforms using Databricks and/or Snowflake
- Strong stakeholder engagement and communication skills
- Track record of delivering complex data transformation initiatives
- Experience operating within programme and enterprise architecture environments
- Experience working within consultancy-led delivery environments
- Knowledge of data operating models and organisational change programmes
- Exposure to multi-cloud environments and hybrid architectures
- Experience supporting enterprise-wide data strategy development
We welcome applicants from all backgrounds. Our client is an equal opportunities employer.
At Xpertise, we keep things human. Your application will always be reviewed by a real person. We do not rely on AI or automated screening tools.
Every candidate receives fair, considered attention from our team.
Right to work in the UK is required for this role.
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Data Architect employer: Xpertise Recruitment
Join a forward-thinking organisation that prioritises innovation and collaboration in the field of data engineering. As a Senior Data Engineer, you'll be part of a dynamic team dedicated to building scalable data solutions that drive real business impact, all while enjoying a supportive work culture that fosters professional growth and development. With significant investment in data capabilities and a commitment to best practices, this role offers a unique opportunity to influence cutting-edge architecture and contribute to transformative projects in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Xpertise Recruitment!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Xpertise Recruitment.
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We think you need these skills to ace 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Xpertise Recruitment, 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 Xpertise Recruitment. 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 Xpertise Recruitment
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Xpertise Recruitment!
✨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.
