At a Glance
- Tasks: Lead the design of enterprise data architecture for a major transformation programme.
- Company: Join a forward-thinking organisation in the aviation data and analytics space.
- Benefits: Competitive daily rate, flexible hours, and the chance to influence major projects.
- Other info: Opportunity to work on innovative projects with real impact in a fast-paced setting.
- Why this job: Shape the future of AI and data capabilities in a dynamic environment.
- Qualifications: Extensive experience in data architecture and strong skills in AWS and Snowflake.
The predicted salary is between 72000 - 88000 £ per year.
Contract
12 months
Rate
Up to £700/day (Inside IR35)
Start
ASAP
Hours
35 hours per week
The Role
We are looking for an experienced Senior Data Architect to join a major enterprise data transformation programme within the aviation data and analytics space.
The organisation is redesigning and modernising its data estate to support the next generation of AI, advanced analytics and real‑time data capabilities.
A key challenge is connecting historically siloed data estates and creating an architecture that enables data to move seamlessly across the wider business.
This is not a purely strategic or advisory architecture position.
You will be expected to work closely with engineering, product, data and AI teams, helping shape the target architecture while remaining close enough to delivery to understand the technical realities and drive change.
- What You'll Be Doing
- Lead the design and evolution of enterprise data architecture across a large‑scale transformation programme.
- Drive data interoperability across previously siloed data estates, creating a more connected and reusable data ecosystem.
- Design architectures that enable AI, advanced analytics, predictive modelling and real‑time data capabilities.
- Lead architectural decisions across AWS and Snowflake, with exposure to Databricks.
- Work closely with engineers and delivery teams to ensure architectural designs are practical, scalable and deliverable.
- Define and evolve approaches to data modelling, schema design and data structuring.
- Ensure the data estate is structured appropriately to support modern AI use cases, including LLMs and knowledge graphs.
- Work with technologies and capabilities including AWS Bedrock and Neo4j, while remaining technology‑agnostic when evaluating future AI solutions.
- Embed data governance, lineage, privacy and metadata principles into architectural designs, working alongside an established governance function.
- Translate complex technical architecture into clear business language and build alignment across technical and non‑technical stakeholders.
- Balance long‑term architectural direction with the immediate requirements of delivery teams.
What We're Looking For
- Extensive experience as a Senior Data Architect, Enterprise Data Architect or similar, working within complex enterprise environments.
- Proven experience delivering or leading large‑scale data transformation and modernisation programmes.
- Strong, hands‑on architectural experience with AWS and Snowflake.
- Good understanding of Databricks and modern cloud data platforms.
- Strong knowledge of data modelling, schema design and data architecture patterns.
- Strong SQL and data analysis capabilities.
- Experience designing architectures that connect and integrate data across multiple platforms, systems and business domains.
- Strong understanding of how enterprise data estates need to be structured to support AI and machine learning use cases.
- Knowledge of modern AI concepts including LLMs, Gen AI, knowledge graphs and scalable model deployment.
- Understanding of data governance, lineage, privacy and metadata principles.
- Ability to work closely with engineers and challenge or guide technical decisions without needing to personally build every component.
- Strong communication skills, with the ability to explain complex technical concepts to business stakeholders.
- A pragmatic, delivery‑focused approach, comfortable working in a fast‑paced environment with ambiguity.
- Particularly Valuable
- A background progressing from Data Engineering into Data Architecture.
- Experience with AWS Bedrock or similar Gen AI services.
- Experience with Neo4j, knowledge graphs or graph‑based data architectures.
- Previous experience within aviation, travel or another data‑intensive industry.
- Experience designing enterprise data platforms specifically to support AI‑driven products and analytics.
If this sounds like you and you’re looking for a long‑term contract where you can have genuine influence over a major data transformation and help shape an enterprise data estate for the next generation of AI, we’d love to hear from you.
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Senior Data Architect employer: Arrows
As a Staff Software Engineer at our innovative company in London, you'll be part of a dynamic team that is revolutionising the way businesses operate with cutting-edge AI technology. We foster a collaborative work culture that prioritises employee growth through mentorship and hands-on experience, while offering competitive salaries and hybrid working options to ensure a healthy work-life balance. Join us to not only shape the future of our platform but also to advance your career in a fast-paced, supportive environment where your contributions truly matter.
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We think this is how you could land Senior Data Architect
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We think you need these skills to ace Senior Data Architect
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Arrows, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Arrows, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at Arrows
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Arrows.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Arrows.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Arrows.
