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- Tasks: Design and deliver modern Azure-based data solutions for clients.
- Company: Fast-growing data consultancy with a focus on innovation.
- Benefits: Competitive salary, hybrid working, and professional development opportunities.
- Other info: Collaborative culture with exposure to enterprise-scale data transformation projects.
- Why this job: Shape impactful data strategies and work with cutting-edge technologies.
- Qualifications: Strong background in data architecture and Azure technologies.
The predicted salary is between 125000 - 125000 ÂŁ per year.
We are seeking a Data Architect to support the design and delivery of modern Azure‑based data solutions within a fast‑growing data consultancy environment. This role plays a key part in helping clients define and deliver scalable, cloud‑native data platforms that enable advanced analytics and AI‑driven insights.
This position sits at the centre of client engagements, shaping end‑to‑end data architectures across areas such as data ingestion, integration, storage, warehousing and cloud infrastructure. You will be responsible for designing robust, secure and cost‑efficient data solutions that align with client strategies and support data‑driven decision making.
This role is ideal for someone confident working across the full data lifecycle, with strong experience in modern data architecture and the ability to translate complex client requirements into scalable, high‑quality designs. You will collaborate closely with stakeholders across business and technical teams, presenting solutions, influencing delivery approaches and contributing to the development of best practices.
Responsibilities- Lead data architecture design across client projects, ensuring scalable and secure solutions
- Design and deliver cloud data platforms using Azure technologies such as Data Factory, Synapse, Azure SQL and Microsoft Fabric
- Define data models, pipelines, integrations and overall architecture frameworks
- Engage with stakeholders at all levels, from senior leadership to technical delivery teams
- Present architecture decisions and proof‑of‑concept solutions clearly to both technical and non‑technical audiences
- Shape client data strategies, challenging approaches and promoting best practices where appropriate
- Support pre‑sales activities including RFI/RFP responses and proof‑of‑concept development
- Strong background in data architecture, data engineering, or modern data platform delivery
- Experience designing and implementing enterprise‑scale data solutions end‑to‑end
- Strong hands‑on experience with Azure data technologies (ADF, Synapse, Azure SQL, Data Lake, Fabric)
- Expertise in data modelling techniques
- Ability to gather and translate business and technical requirements into scalable solutions
- Strong communication skills, with the ability to explain complex concepts to varied audiences
- Competitive salary of up to ÂŁ125,000 depending on experience
- Hybrid working model
- Ongoing investment in professional development and certifications
- Opportunity to work on high‑impact, enterprise‑scale data transformation projects
- Collaborative and high‑performance culture focused on innovation and growth
- Exposure to cutting‑edge cloud, data, and AI technologies
Data Architect in Edinburgh employer: Cyber Security training courses
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Data Architect role. Attend industry meetups or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those involving Azure technologies. This will give you an edge when discussing your experience with clients and stakeholders during interviews.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with Azure and your ability to deliver scalable data solutions.
We think you need these skills to ace Data Architect in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with Azure technologies and data architecture. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data solutions and how you can contribute to our team. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We love seeing real-world examples of your work, especially those that demonstrate your ability to design scalable data solutions.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Don’t miss out!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure data technologies like Data Factory, Synapse, and Azure SQL. Be ready to discuss how you've used these tools in past projects and how they can be applied to create scalable data solutions.
✨Master the Art of Communication
Since you'll be engaging with both technical and non-technical stakeholders, practice explaining complex data architecture concepts in simple terms. Use examples from your experience to illustrate your points and show that you can bridge the gap between different audiences.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your ability to translate client requirements into effective data solutions, demonstrating your expertise in shaping data strategies.
✨Be Ready for Scenario-Based Questions
Expect questions that ask you to design a data architecture on the spot or solve hypothetical problems. Practise thinking aloud as you work through these scenarios, showcasing your thought process and decision-making skills.