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- Tasks: Design and govern data architectures for scalable AI solutions.
- Company: Join Digital Futures, a mission-driven tech company focused on AI innovation.
- Benefits: Enjoy tailored development plans, competitive salary, hybrid work, and wellness perks.
- Why this job: Make a real impact in a rapidly growing company at the forefront of AI.
- Qualifications: Experience in data architecture and strong knowledge of cloud data stacks required.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Digital Futures is seeking a Data Architect. They will define and govern data and analytics architectures that enable scalable AI and digital solutions for clients. The role ensures data platforms are designed for reliability, interoperability, security and future growth.
Key responsibilities:
- Design target data architectures and reference patterns across cloud data platforms, analytics and AI workloads.
- Lead the definition of data models, integration patterns, storage approaches and data flows to support key use cases.
- Work closely with AI Engineering Leads, Data Engineers and client architects to ensure solutions align with enterprise standards and constraints.
- Define data governance, data quality and metadata practices required to support trusted analytics and AI.
- Provide architectural oversight across programmes, reviewing designs and guiding trade‑off decisions.
- Evaluate and recommend data and analytics technologies, tools and platforms.
Skills & experience:
- Extensive experience as a data architect or senior data engineer working on large‑scale data and analytics platforms.
- Deep understanding of modern data architectures (e.g. data lakehouse, event‑driven architectures, streaming, data mesh principles).
- Strong knowledge of one or more leading cloud data stacks (e.g. GCP BigQuery, AWS Redshift/Glue, Azure Synapse, Databricks, Snowflake).
- Experience designing data models for analytics and AI, and working with structured and unstructured data.
- Familiarity with data governance, security, privacy and compliance considerations.
- Ability to communicate architectural concepts clearly to both technical and business stakeholders.
Behaviours & mindset:
- Acts as a steward of data, balancing innovation with robustness and compliance.
- Comfortable making and articulating trade‑offs under uncertainty.
- Collaborative and supportive of engineering teams, not purely gatekeeping.
- Curious about new patterns and tools in data and AI, and able to critically assess hype.
- Thinks in systems and long‑term evolution, not just individual projects.
What’s in it for you?
- Tailored professional development plan and upskilling.
- Ability to make an impact at Digital Futures while it is in a period of accelerated growth.
- Access to our employee benefits, discounts and perks platform.
- Pension contributions.
- Wellbeing budget.
- Competitive salary.
- Hybrid working model with required office working days.
Digital Futures is a mission‑led technology services company specialising in Artificial Intelligence (AI). We have reimagined how capability is built in the age of AI, disrupting outdated workforce and education models, placing ambition at our core. We’re building the workforce of the future, leveraging the power of AI to drive innovation and inclusive growth. We are creating a company that matters: one where pride is a strategic asset and our collective impact is measured in enduring outcomes – opportunity created, futures transformed, advantage secured.
Data Architect employer: Digital Futures
Contact Detail:
Digital Futures 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 your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architectures, models, and any projects you've worked on. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of cloud data stacks and modern data architectures. Be ready to discuss how you've tackled challenges in past projects and how you can contribute to Digital Futures.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission-led team.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data architectures and cloud platforms. We want to see how your skills align with the role of Data Architect, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: When detailing your experience, focus on your knowledge of modern data architectures and any specific tools you've used. We love seeing candidates who can clearly communicate their technical expertise, especially in areas like data governance and AI.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and how you can contribute to our mission at Digital Futures.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Digital Futures
✨Know Your Data Architectures
Make sure you brush up on modern data architectures like data lakehouses and event-driven architectures. Be ready to discuss how these concepts apply to the role and how you've used them in past projects.
✨Showcase Your Collaboration Skills
Since the role involves working closely with AI Engineering Leads and Data Engineers, prepare examples of how you've successfully collaborated with cross-functional teams. Highlight your ability to communicate complex architectural concepts to both technical and non-technical stakeholders.
✨Prepare for Technical Questions
Expect to dive deep into your technical knowledge, especially around cloud data stacks like GCP BigQuery or AWS Redshift. Brush up on your understanding of data governance and compliance, as these are crucial for the role.
✨Demonstrate Your Curiosity
Digital Futures values a curious mindset, so be prepared to discuss new patterns and tools in data and AI that excite you. Show that you're not just keeping up with trends but critically assessing their relevance and potential impact.