At a Glance
- Tasks: Design and govern enterprise data architecture for cutting-edge AI and simulation projects.
- Company: Join a fast-growing engineering powerhouse focused on national security and resilience.
- Benefits: Competitive salary, flexible working, and a commitment to diversity and inclusion.
- Other info: Flexible hybrid working model and opportunities for career growth.
- Why this job: Make a real impact in technology that enhances decision-making and protects critical assets.
- Qualifications: Experience as a Data Architect with strong stakeholder engagement skills.
The predicted salary is between 60000 - 80000 £ per year.
We’re building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise in turning advances in sensing, AI, and communications into operational capability for the edge, where connectivity may be degraded or denied. Our work focuses on accelerating the deployment of technology, improving decision-making for frontline teams, and protecting people and critical assets in demanding environments.
About the role
We’re looking for a senior Data Architect to provide enterprise-level data architecture, governance, and assurance working alongside a Solutions Architect and Delivery Manager to assure the delivery of a capability. You will be responsible for architecting and assuring the data foundations that enable synthetic environment capabilities, supporting high‑fidelity simulation and integration across customer platform layers. The role also contributes to the development of an enterprise AI platform, ensuring data coherence, quality, and long‑term sustainability. This role is based in Corsham (one day per week) and Bristol (two days per week). Candidates must be eligible for SC clearance.
Key areas of responsibility
- Architect and assure enterprise data foundations that underpin synthetic environments, enabling high‑fidelity simulation, analysis, and integration across customer platform layers.
- Define, maintain, and govern coherent enterprise data models, including documentation of both as‑is and to‑be states.
- Establish and enforce data standards, naming conventions, and modelling approaches to ensure consistency, interoperability, and reuse across the estate.
- Assure supplier data designs and artefacts, holding the delivery partner to account for alignment with agreed data architecture principles and standards.
- Document data requirements for new and emerging functional needs, including the onboarding of new data types and sources.
- Evaluate data architecture options to support enterprise AI platform development, ensuring data is suitable for advanced analytics and AI use cases.
- Engage with customer technical and operational stakeholders to align data architecture decisions with user needs and platform constraints.
- Provide data architecture governance and assurance across design and live service, ensuring decisions are documented, traceable, and fit for long‑term operation.
Key skills, experience and behaviours
We are looking for a senior data architecture practitioner with the authority, judgement, and experience to set direction, assure delivery, and act as a trusted advisor to the customer.
Essential skills and experience
- Demonstrable experience operating as a Data Architect at enterprise or organisational scale.
- Proven ability to define, govern, and assure enterprise data models and standards.
- Strong experience documenting as‑is and to‑be data architectures.
- Ability to assure supplier data designs and hold delivery partners to account.
- Experience supporting data architectures for analytics, AI, or simulation‑based systems.
- Strong stakeholder engagement skills, able to influence senior technical and operational audiences.
- Ability to operate with authority and autonomy in complex, ambiguous environments.
Desirable (not essential)
- Experience working in secure, regulated, or government environments.
- SFIA Level 6 capability in Data Architecture or Information Management.
- Experience supporting enterprise AI or advanced analytics platforms.
- Familiarity with data governance frameworks and reference architectures.
- Experience working alongside solution, security, or platform architects.
About you
You are comfortable setting direction and making architectural decisions that have long‑term impact. You bring clarity and structure to complex data landscapes and evolving requirements. You challenge designs constructively and base decisions on strong technical reasoning. You value good governance, clear standards, and well‑documented decisions. You enjoy working as part of a small, high‑trust client‑side team providing assurance on complex delivery.
Working at Rowden
We are committed to building a flexible, inclusive, and enabling company. Our aim is to create a diverse team of talented people with unique skills, experience, and backgrounds. We also recognise the importance of flexible working and support this wherever we can. We typically operate a flexible, hybrid‑working model, with an average 3 days in the office each week (dependent on the role). We welcome the opportunity to discuss flexibility, part‑time working requirements and/or workplace adjustments with all our applicants. Rowden is a Disability Confident Committed company, and we actively encourage people with disabilities and health conditions to apply for our roles. Please let us know your requirements early on so that we can make sure you have everything you need upfront to help make the recruitment process and experience as easy as possible. Finally, if you feel that you don’t meet all the criteria included above but have transferable skills and relevant experience, we’d still love to hear from you!
Data Architect employer: Rowden
Contact Detail:
Rowden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Understand their tech stack and be ready to discuss how your experience as a Data Architect aligns with their needs. Show them you’re not just another candidate, but someone who’s genuinely interested in their mission.
✨Tip Number 3
Practice your pitch! Be ready to explain your past projects and how they relate to the role. Use specific examples that highlight your skills in data architecture and governance, and don’t forget to showcase your ability to work in complex environments.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and really want to be part of our team at Rowden.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your experience as a Data Architect and any relevant projects you've worked on that align with our needs.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've defined and governed enterprise data models, and how you can contribute to our mission at Rowden.
Showcase Your Stakeholder Engagement Skills: We value strong communication skills, so be sure to mention any experiences where you've influenced senior technical or operational audiences. This will help us see how you can fit into our team dynamic.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the recruitment process.
How to prepare for a job interview at Rowden
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in enterprise data architecture principles. Brush up on your experience with data models, governance, and assurance processes. Be ready to discuss specific examples of how you've defined and maintained data standards in previous roles.
✨Engage with Stakeholders
Prepare to talk about your experience in engaging with technical and operational stakeholders. Think of instances where you influenced decisions or aligned data architecture with user needs. This will show that you can communicate effectively and understand the bigger picture.
✨Demonstrate Your Problem-Solving Skills
Expect questions that assess your ability to navigate complex and ambiguous environments. Prepare to share examples of how you’ve tackled challenges in data architecture, especially in relation to AI or analytics platforms. Highlight your thought process and decision-making skills.
✨Show Your Passion for Governance and Standards
Express your commitment to good governance and clear documentation. Be ready to discuss how you ensure consistency and interoperability across data architectures. This will resonate well with the company’s focus on quality and long-term sustainability.