At a Glance
- Tasks: Lead the design of a modern Microsoft Fabric-based enterprise data platform.
- Company: Dynamic tech company in London with a hybrid work culture.
- Benefits: Competitive salary, flexible working, 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.
- Qualifications: Extensive experience in Data Architecture and strong skills in Microsoft Fabric.
The predicted salary is between 72000 - 88000 £ per year.
We're looking for a Data Architect to lead the architecture and evolution of a modern Microsoft Fabric-based enterprise data platform. This role will lead the design of a Microsoft Fabric-based enterprise data platform, embedding metadata-driven principles, strong governance, and data quality standards at the heart of the architecture. The role combines strategic enterprise data architecture responsibilities with hands-on involvement in designing and supporting the build of the data platform and its associated data products.
What you'll be doing:
- Lead the architecture and design of an enterprise Microsoft Fabric data platform
- Define scalable architecture patterns across Lakehouse, Data Warehouse, Data Engineering, Real Time Analytics and Semantic Models
- Develop enterprise data architecture roadmaps, target-state architectures and transition strategies
- Design conceptual, logical and physical data models
- Establish metadata-driven architecture principles and frameworks
- Drive data lineage, cataloguing, metadata management and impact analysis
- Define and embed data governance, data quality and MDM principles
- Design enterprise integration patterns covering APIs, ETL/ELT and event-driven architectures
- Establish data ownership, authoritative data sources and CRUD matrices
- Partner closely with Data Engineering, Analytics, Enterprise Architecture, Technology and business stakeholders
- Provide architectural leadership and assurance throughout platform delivery
What we're looking for:
- Significant experience in Data Architecture/Enterprise Data Architecture/Solution Architecture
- Strong hands-on experience with Microsoft Fabric and the Microsoft Data Platform ecosystem
- Expertise across Fabric Lakehouse, Warehouse, Data Engineering, Real Time Analytics and Semantic Models
- Strong enterprise data modelling and information architecture experience
- Proven experience with metadata-driven architecture
- Strong knowledge of data governance, data quality, lineage and metadata management
- Experience with Master Data Management (MDM) and data mastering
- Strong understanding of enterprise integration architecture, APIs, ETL/ELT and event-driven patterns
- Strong SQL and data modelling skills
- Excellent stakeholder management and communication skills
Head of Data Architecture 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.
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We think this is how you could land Head of Data Architecture
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Head of Data Architecture
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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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
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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.
