At a Glance
- Tasks: Lead the design of a modern enterprise data platform using Microsoft Fabric.
- Company: Dynamic tech firm in London focused on innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Shape the future of data architecture and make a real impact in the tech industry.
- Qualifications: Experience in Data Architecture and strong skills in Microsoft Fabric and Azure.
The predicted salary is between 72000 - 88000 £ per year.
We are working with our client, based in the London area, who are looking for an experienced Data Architect to lead the design and evolution of a modern enterprise data platform, with a strong focus on
Microsoft Fabric
Key Responsibilities
- Lead
Microsoft Fabric data platform architecture and design.
- Define Lakehouse, Data Warehouse, Real Time Analytics and Semantic Model architecture.
- Develop enterprise data models and information architecture.
- Establish metadata-driven architecture, data lineage and data catalogue standards.
- Define data governance, data quality and MDM principles.
- Design enterprise data integration, API and ETL/ELT patterns.
- Define authoritative data sources, data ownership and CRUD matrices.
- Work closely with Data Engineering, Analytics, Enterprise Architecture and business teams.
- Provide architectural leadership and assurance across data initiatives.
Key Requirements
- Significant experience in
- Data Architecture/Enterprise Data Architecture
- Strong
Microsoft Fabric and Azure Data Platform experience.
- Enterprise data modelling and information architecture.
- Experience with metadata, lineage and data catalogue solutions.
- Strong understanding of MDM, data governance and data qu...
Data Architect - Microsoft Fabric in London employer: Careerwise
Careerwise is an excellent employer that fosters a collaborative work culture, offering flexible working arrangements with just two days a week in the vibrant city of London. Employees benefit from continuous professional development opportunities and are encouraged to innovate in their roles, making it a rewarding environment for those passionate about data quality and governance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect - Microsoft Fabric in London
✨Get Involved in Data Science Meetups
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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 Careerwise.
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We think you need these skills to ace Data Architect - Microsoft Fabric 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 Careerwise, 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. 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
✨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
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!
✨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.
