At a Glance
- Tasks: Lead data architecture for innovative projects, ensuring practical and deliverable solutions.
- Company: Join a forward-thinking organisation focused on large-scale data transformation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a significant impact in data architecture while working with cutting-edge technologies.
- Qualifications: Proven experience in data architecture and strong skills in Microsoft Fabric and Azure.
The predicted salary is between 70000 - 90000 £ per year.
The Data Architect will provide senior data architecture leadership for the Synthesis Programme Data Workstream. The role will act as MDU’s client-side data architecture lead across data migration, Microsoft Fabric, reporting foundations, governance and transition into run-state support, ensuring that architecture decisions are practical, deliverable and aligned to programme milestones. The post-holder will provide technical leadership, design assurance and delivery support across the Data Workstream, coordinating key dependencies, risks, decisions and architecture deliverables through the lifecycle of the programme.
Role Responsibilities:
- Lead the Data Workstream from a data architecture perspective and act as the senior data architecture authority within the Synthesis Programme.
- Own and assure the target data architecture needed to support migration from legacy platforms and data structures into the target landscape, including downstream reporting and integration requirements.
- Define and apply design standards and technical patterns covering Microsoft Fabric, Power BI, Azure Integration Services, APIs and enterprise data pipelines where required to support programme delivery.
- Provide design assurance through programme forums, workstream meetings and architecture review processes.
- Support transition from programme delivery into run-state support through documentation, knowledge transfer and operational readiness activity.
- Target data architecture, design standards and core patterns defined and applied across the Data Workstream.
- Microsoft Fabric implementation supported through appropriate architectural oversight and design assurance.
- Source-to-target mapping catalogue completed and controlled.
- Migration test cycles executed with reconciliation, validation and issue resolution.
- Priority downstream reporting and semantic models delivered and validated against legacy outputs.
- Initial governance, metadata and lineage foundations established, including Purview where in scope.
- Production cutover and run-state readiness supported through documentation and knowledge transfer.
Required Experience:
- Proven experience as a Data Architect, Lead Data Architect or equivalent in large-scale transformation environment.
- Strong experience delivering enterprise data transformation, migration and platform modernisation activity.
- Strong experience in Microsoft Fabric architecture and data platform design.
- Strong understanding of modern analytical platform design, including lakehouse, warehouse and semantic modelling concepts.
- Strong data modelling capability across conceptual, logical and physical domains.
- Demonstrable experience leading complex data migration, mapping, reconciliation and validation activity.
- Strong Azure data and integration architecture experience, including APIs and enterprise integration patterns.
- Practical experience working across Power BI, Dynamics 365, Power Platform, SQL, Python and source-control / CI-CD approaches.
- Strong stakeholder engagement, governance and communication skills, with the ability to influence technical and non-technical audiences.
- Experience providing architecture leadership in multi-disciplinary delivery settings.
- Experience with Microsoft Purview or similar metadata, lineage and governance tooling.
- Experience within regulated or operationally complex environments.
- Experience of working on large-scale business or platform migrations.
- Agile / Scrum delivery experience.
- Experience with AI Foundry, LLM or wider enterprise AI platforms.
Data Architect employer: The MDU
As a leading employer in the data architecture field, we offer an inspiring work culture that prioritises innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and hands-on experience with cutting-edge technologies like Microsoft Fabric and Azure. Located in a dynamic environment, we provide a supportive atmosphere where your expertise will directly contribute to impactful projects, ensuring a rewarding career path for our Data Architects.
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We think this is how you could land Data Architect
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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!
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Craft a Tailored Cover Letter:For a full-time role at The MDU, 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 The MDU. 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 The MDU
✨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!
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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.
