At a Glance
- Tasks: Design and evolve enterprise data architecture across modern cloud platforms.
- Company: Leading tech firm with a focus on innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a collaborative team with excellent career advancement opportunities.
- Why this job: Shape the future of data architecture and make a real impact in a dynamic environment.
- Qualifications: Experience in data architecture, modelling, and integration patterns.
The predicted salary is between 60000 - 75000 £ per year.
Location: UK (London/ Working/Fareham) or Germany (Haar, Munich)
Notice Period: Immediate/short notice preferred
We are hiring a Data Architect to define, design, and evolve enterprise data architecture across modern cloud and lakehouse platforms. You will translate business, analytics, and AI requirements into robust data models, integration patterns, platform standards, and governance controls that create trusted, reusable data assets. This is a senior technical leadership role with architecture ownership: you will shape data architecture principles, guide design reviews, collaborate with engineering and analytics teams, and make practical trade-offs across data modelling, integration, governance, performance, security, cost, and operational resilience.
What You'll Be Doing:
- Design enterprise-wide data architecture and strategy
- Develop conceptual, logical, and physical data models
- Design lakehouse, data warehouse, and data product architectures
- Define data integration patterns for batch, streaming, APIs, and event-driven solutions
- Establish data governance, metadata, lineage, data quality, and security standards
- Collaborate with engineering, analytics, and business teams to deliver scalable cloud data platforms
- Provide technical leadership through architecture reviews, standards, and best practices
Key Skills We're Looking For:
- Enterprise Data Architecture & Data Strategy
- Data Modelling (Conceptual, Logical & Physical)
- Lakehouse & Data Warehouse Architecture
- Databricks, Spark & Lakehouse Technologies
- Microsoft Fabric, Azure Data Lake, Azure Synapse
- Snowflake or comparable cloud data platforms
- Azure Data Factory, Azure Purview & Data Governance
- SQL, Semantic Models & Dimensional Modelling
- Data Integration (Batch, Streaming, APIs & Event-Driven)
- Metadata, Lineage, Master Data & Data Quality
- CI/CD, Git & Infrastructure as Code for Data Platforms
- Experience supporting Analytics, Reporting & AI solutions
Nice to Have:
- Microsoft Azure Certifications (DP-203, DP-600, AZ-305, AI-102)
- Databricks Certifications
- TOGAF, DAMA, or other Data Architecture certifications
Please send me your latest updated CV or message me directly for more information.
Data Architect employer: Careerwise Uk
Careerwise-UK is an exceptional employer that fosters a collaborative and innovative work culture, allowing employees to thrive in their roles while working flexibly from home. With a strong emphasis on professional development, the company provides ample opportunities for growth and advancement, making it an ideal place for those looking to make a meaningful impact in the field of product data and analytics.
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 Careerwise Uk!
✨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 Careerwise Uk.
✨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 Careerwise Uk.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at Careerwise Uk, 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
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 Careerwise Uk, 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 Careerwise Uk. 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 Careerwise Uk
✨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 Careerwise Uk!
✨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.
