At a Glance
- Tasks: Lead the design and evolution of data architectures in a dynamic Microsoft environment.
- Company: Join a forward-thinking organisation focused on innovative data solutions.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative team environment with excellent career advancement potential.
- Why this job: Shape the future of data architecture and make a real impact on business objectives.
- Qualifications: Experience in data architecture, UML modelling, and strong problem-solving skills.
The predicted salary is between 72000 - 72000 £ per year.
Please note - this role will require you to work from the London based office two days per week. To be eligible for this role you must have the unrestricted right to work in the UK. This organisation does not offer sponsorship.
We are seeking an experienced Data Architect to lead the design, governance and evolution of enterprise and project data architectures across a complex Microsoft Dynamics 365 and downstream medallion architecture environment. This role is responsible for shaping how data is structured, governed and used across new solutions and enhancements. You will carry out structured analysis of data estates and project requirements, translating these into conceptual and logical data models, glossaries, taxonomies and ontologies. You will also map critical data flows and maintain enterprise data models with clear lineage.
A key part of the role is model governance, version control and quality assurance, including the extension and enforcement of standards and policies using Sparx Enterprise Architect, MDG technologies and scripting. You will work closely with colleagues at all levels of the organisation, as well as external delivery partners, to ensure data architecture supports business objectives, regulatory responsibilities and user needs. The role reports to the Enterprise Architect and sits within the Digital Services team, working closely with Data Governance, BI, Technology Services and wider business teams.
Key responsibilities include:
- Lead project-level data architecture through structured Data Architecture Assessments (DAAs)
- Own and evolve enterprise data architecture and model governance via the Data Architecture Framework (DAF)
- Administer the model repository, including version control and quality assurance
- Champion the data architecture "store front", educating, mentoring and promoting the DAF, UML and enterprise data models
- Develop and maintain the Data Architecture Roadmap
- Analyse business and technical requirements against the enterprise architecture landscape and recommend appropriate data solutions
- Produce clear, high‑quality architecture artefacts (documents and diagrams) for business stakeholders, SMEs, analysts, governance teams and engineers
Required experience:
- Strong knowledge of DAMA DMBoK
- Expertise in UML conceptual and logical data modelling
- Deep understanding of Transactional, Kimball and One Big Table (OBT) methodologies and their appropriate use cases
- Proven experience with Sparx Enterprise Architect and MDG technologies
- Degree or postgraduate qualification in IT, Computer Science, Engineering or a related field (or equivalent experience)
- Strong problem‑solving skills for complex data and technology challenges
- Ability to explain complex technical concepts clearly to non‑technical audiences
- Proven experience working in a data architecture role
- Hands‑on delivery of robust, practical data architecture based on business and technical requirements
- Experience designing transitional architectures and addressing security considerations across architecture domains
To apply for this role please submit your CV or contact David Airey.
Data Architect - London - £72k employer: Jefferson Frank
Join a forward-thinking organisation in London that values innovation and collaboration, offering a dynamic work culture where your expertise as a Data Architect will directly influence enterprise data strategies. With a commitment to employee growth, you will have access to continuous learning opportunities and the chance to work alongside talented professionals in a supportive environment. Enjoy the unique advantage of a hybrid work model, allowing you to balance your professional and personal life while contributing to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect - London - £72k
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and skills.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your work, including diagrams, models, and any relevant projects. This will help you stand out and give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Architect - London - £72k
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience with data modelling, governance, and any relevant technologies like Sparx Enterprise Architect. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific examples of projects you've worked on that relate to data architecture. Describe your role, the challenges you faced, and how you overcame them. This helps us understand your hands-on experience and problem-solving skills.
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point, making it easy for us to see your qualifications.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining the StudySmarter team!
How to prepare for a job interview at Jefferson Frank
✨Know Your Data Models
Make sure you brush up on your knowledge of UML conceptual and logical data modelling. Be ready to discuss how you've applied these methodologies in past projects, especially in relation to transactional systems or Kimball methodologies.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex data challenges you've faced and how you solved them. This role requires strong problem-solving skills, so demonstrating your analytical thinking will impress the interviewers.
✨Understand the Business Context
Familiarise yourself with how data architecture supports business objectives. Be prepared to explain how your previous work has aligned with business needs and regulatory responsibilities, as this is crucial for the role.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to work closely with non-technical stakeholders, so showing that you can bridge the gap between technical and non-technical audiences will be a big plus.
