At a Glance
- Tasks: Design and shape enterprise data platforms using cutting-edge cloud technologies.
- Company: Join a high-growth consultancy focused on complex data transformation.
- Benefits: Competitive salary, bonus, remote work, and clear career progression.
- Other info: Remote-first model with opportunities for occasional travel to London.
- Why this job: Influence major UK organisations' data strategies and work with modern tech.
- Qualifications: Experience in data architecture and strong consulting skills required.
The predicted salary is between 70000 - 90000 £ per year.
Job Description
Data Architect
Permanent | Remote (UK) with occasional travel to London Up to £120k + bonus + benefits (depending on experience and level)
- All candidates must be eligible for UK Security Clearance (SC)
- Architect the Future of Enterprise Data Platforms
Are you a Data Analytics Architect who can design and shape the next generation of enterprise data platforms?
We’re looking for an experienced Data Analytics Architect to join a high-growth consultancy delivering complex cloud data transformation programmes for some of the UK’s largest organisations.
This is a strategic architecture role focused on building modern, scalable data ecosystems from cloud data platforms and lakehouse architectures through to data engineering frameworks, governance models and advanced analytics capabilities.
You’ll work with senior stakeholders to define data strategy, establish target architectures and provide technical leadership across large-scale transformation programmes.
You’ll act as the bridge between business vision and engineering delivery, ensuring platforms are secure, scalable, performant and built for long-term success.
This is not a reporting or dashboard-focused role.
We’re looking for someone who understands how enterprise data platforms are architected, engineered and operationalised in production environments.
Key Responsibilities
- Define enterprise data platform architectures across complex, multi-system environments
- Lead the design of modern cloud-native data ecosystems, including lakehouse, data warehouse and hybrid architectures
- Provide technical leadership across data engineering, analytics and AI transformation programmes
- Design scalable data pipelines, ETL/ELT frameworks and integration patterns
- Shape architecture decisions across technologies including Microsoft Fabric, Azure Databricks, Azure Synapse Analytics and Azure Data Factory
- Define data modelling strategies, including dimensional modelling, enterprise data models and lakehouse patterns
- Establish architectural standards around data governance, security, metadata, lineage and data quality
- Act as a design authority, reviewing and assuring technical solutions across delivery teams
- Work with engineering teams to ensure architectures are practical, scalable and production-ready
- Partner with senior client stakeholders to develop data strategies, roadmaps and transformation plans
- Support solution design, pre-sales activities and client workshops where required
Essential Experience
- Proven experience as a Data Architect, Analytics Architect, Cloud Data Architect or Principal Data Consultant
- Strong background designing and delivering enterprise-scale data platforms
• Extensive experience across the Microsoft data ecosystem, including
- Microsoft Fabric
- Azure Databricks
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Lake Storage
• Strong understanding of modern data engineering concepts including
- Data pipelines
- ETL/ELT frameworks
- Data ingestion patterns
- Data processing architectures
- Lakehouse approaches
- Experience designing enterprise data models and warehousing solutions
- Strong understanding of cloud data architecture patterns and best practice
- Experience defining data governance, security, lineage and quality frameworks
- Ability to translate complex business challenges into scalable technical architectures
- Strong consulting experience with the ability to influence senior stakeholders
Desirable Experience
- Experience leading Microsoft Fabric implementation or migration programmes
- Strong knowledge of Databricks Lakehouse architecture and engineering practices
- Experience designing platforms supporting AI, machine learning and advanced analytics workloads
- Exposure to Data Ops, Dev Ops, CI/CD and automated deployment practices
- Experience working within highly regulated environments such as defence, government, financial services or healthcare
- Experience presenting architecture decisions through governance boards and technical assurance forums
- Knowledge of Power BI semantic models and enterprise BI architecture
Why Join?
- Shape the architecture of enterprise-scale cloud data transformation programmes
- Work with modern technologies including Microsoft Fabric, Azure Databricks and Azure Data Platforms
- Influence how major UK organisations build and use data at scale
- Join a technically driven consultancy working on complex transformation challenges
- Remote-first working model with occasional London travel
- Competitive salary package with bonus and benefits
- Clear progression pathway towards Principal Data Architect, Enterprise Architect or Data Practice Leadership roles
Data Architect in London employer: Talent Locker
Talent Locker is an exceptional employer, offering a dynamic work environment in London where innovation thrives. With a strong focus on employee growth, you will have access to cutting-edge technologies and collaborative teams that foster creativity and professional development. The competitive salary, performance bonuses, and outstanding benefits make it a rewarding place to advance your career in AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
✨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 Talent Locker!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect at Talent Locker.
✨Leverage Professional Networks
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 Talent Locker.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at Talent Locker, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Architect 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!
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 Talent Locker, 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 Talent Locker. 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 Talent Locker
✨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 Talent Locker!
✨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.
