At a Glance
- Tasks: Design and deliver innovative data architectures for AI-driven solutions.
- Company: Global leading consultancy investing in Data and AI.
- Benefits: Competitive salary, hybrid work, and growth opportunities.
- Other info: Join a collaborative team with ambitious growth plans.
- Why this job: Shape the future of data and make a real impact.
- Qualifications: Experience in data architecture and strong communication skills.
The predicted salary is between 70000 - 110000 £ per year.
A global leading consultancy business is investing heavily in Data and AI and is building out a high-impact team focused on designing and delivering next-generation data platforms and AI-driven solutions. This is a chance to play a key role in shaping how organisations harness data to unlock real commercial value. You will work on complex, high-profile programmes, helping clients modernise their data estates whilst enabling advanced analytics and AI at scale. You will be part of a collaborative, product-focused environment where architects, engineers and AI specialists work side by side to deliver tangible outcomes, not just strategy.
You will contribute to, and in more senior cases lead, the design and delivery of enterprise-scale data architectures that underpin analytics, AI and digital transformation programmes. Key responsibilities include:
- Designing end-to-end data architectures, covering ingestion, modelling, integration, governance and data serving across cloud platforms
- Shaping architecture strategies including data modelling standards, lineage, data quality, metadata and master data management
- Supporting and leading architectural discovery, defining data workstreams and delivery approaches across Azure, AWS, GCP and Snowflake
- Working within cross-functional teams, including Data Engineers, AI specialists and business stakeholders, to design and assure scalable data solutions
- Engaging with stakeholders to understand business challenges, define requirements and recommend technology solutions aligned to value and ROI
- Translating architecture designs into practical delivery, working closely with engineering teams across pipelines, integrations and platform services
- Contributing to data strategy, operating models and roadmap development to support long-term transformation
You will bring a blend of strong technical capability and consulting expertise, with experience across:
- Architecture and Delivery
- Designing and delivering enterprise data architectures across the full lifecycle
- Building data models, pipelines and semantic layers in complex environments
- Working across structured and unstructured data platforms in cloud ecosystems
- Data Management and Governance
- Strong understanding of data governance, lineage, quality frameworks and master data management
- Experience embedding these principles within modern data platforms
- Technology and Tools
- Data modelling expertise, ideally with tools such as Erwin or ER Studio
- Experience integrating data from core enterprise systems, for example SAP, Oracle, Salesforce or Workday
- Knowledge of ETL processes and cloud-native data storage and processing services
- Exposure to MDM tools such as Informatica, or API integration using JSON and tools such as MuleSoft is advantageous
- Consulting and Stakeholder Engagement
- Proven ability to work in client-facing roles, building trusted relationships
- Strong communication skills, with the ability to link technical decisions to business value
- Experience evaluating technology options and articulating trade-offs and ROI
Desirable Experience:
- Exposure to Agile delivery methods such as Scrum or Kanban
- Certifications in data or enterprise architecture, for example TOGAF or cloud certifications
- Experience developing data strategies, operating models or governance frameworks
- Experience designing data platforms that support AI, including emerging use cases such as agentic AI
Why Join:
- Work on cutting-edge Data and AI programmes with real business impact
- Gain exposure to a wide range of industries and complex transformation initiatives
- Be part of a collaborative, high-performing team with strong growth ambitions
- Benefit from flexible, hybrid working and a competitive package
Data Architect in Edinburgh employer: Harvey Nash
Join a global leading consultancy that prioritises innovation in Data and AI, offering you the chance to work on transformative projects that deliver real commercial value. With a collaborative work culture, flexible hybrid working arrangements, and a competitive salary package, this role as a Data Architect not only allows for professional growth but also positions you at the forefront of cutting-edge technology across diverse industries.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Edinburgh
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data game. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects. Whether it’s a personal website or a GitHub repo, having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Don’t be shy about reaching out directly to companies you’re interested in. A quick email or LinkedIn message expressing your enthusiasm for their work can go a long way. Plus, applying through our website can give you a better chance of getting noticed!
✨Tip Number 4
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you’ve tackled challenges in past projects. Practising common interview questions can help you feel more confident and ready to impress.
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 data architectures, cloud platforms, and any relevant tools you've used. 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 and AI, and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your experience with data modelling, governance, and any cloud technologies like Azure or AWS. We love seeing candidates who can connect technical skills to business value.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Harvey Nash
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the principles of data architecture. Brush up on your knowledge of cloud platforms like Azure, AWS, and GCP, as well as tools like Erwin or ER Studio. Be ready to discuss how you've designed end-to-end data architectures in previous roles.
✨Showcase Your Consulting Skills
This role requires strong stakeholder engagement, so prepare examples of how you've built trusted relationships with clients. Think about times when you’ve translated technical decisions into business value and be ready to share those stories during the interview.
✨Demonstrate Your Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios related to data governance, quality frameworks, and master data management. Show how you approach complex problems and how you would recommend technology solutions that align with business challenges.
✨Familiarise Yourself with Agile Methodologies
Since the company values Agile delivery methods, it’s a good idea to brush up on Scrum or Kanban principles. Be ready to discuss how you’ve applied these methodologies in past projects and how they can enhance collaboration within cross-functional teams.
