Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement cutting-edge data architecture solutions for enterprise-level projects.
- Company: Join a leading consultancy with a focus on innovative data solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data management and make a real impact in the tech industry.
- Qualifications: Bachelor's degree in STEM and strong experience in data architecture or engineering.
- Other info: Dynamic work environment with mentorship and career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Responsibilities:
- Design and implement enterprise-level data architecture solutions, including databases, data warehouses, and data lakes.
- Develop and maintain logical, physical, and conceptual data models.
- Define data management standards, policies, and best practices.
- Work with data engineers to design and optimize ETL/ELT pipelines for structured and unstructured data.
- Ensure data quality, consistency, and security across platforms.
- Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
- Evaluate and recommend new data technologies, tools, and platforms to enhance data capabilities.
- Oversee data integration across cloud and on-premises environments.
- Support data governance initiatives, including metadata management, master data management (MDM), and compliance.
- Provide technical leadership and mentorship to data engineering and analytics teams.
Required Skillset:
- Bachelor's degree in STEM, Computer Science, Information Systems, Data Science, or related field (Master's preferred).
- Strong experience in data architecture, database design, or data engineering.
- Strong proficiency in SQL and database technologies (e.g., Oracle, SQL Server, PostgreSQL, MySQL).
- Knowledge of data warehouse and lakehouse architectures.
- Familiarity with ETL/ELT and orchestration tools (e.g., Informatica, Talend, Apache Airflow).
- Experience in establishing and maintaining data governance frameworks.
- Experience complying with data security requirements.
- Experience designing data models.
- Excellent problem-solving, communication, and documentation skills.
- Familiarity with AI/ML data pipelines and analytics platforms.
Data Architect in Edinburgh employer: Advanced Resource Managers
Contact Detail:
Advanced Resource Managers 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 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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, models, and any cool ETL/ELT pipelines you've built. This gives employers a tangible look at what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your thought process when designing data solutions, as this will help you stand out during technical interviews.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Data Architect in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Architect role. Highlight your experience with data architecture, database design, and any relevant technologies like SQL and ETL tools.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share specific examples of how you've designed data solutions or collaborated with stakeholders to meet data requirements.
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention instances where you’ve tackled complex data challenges. We love seeing how you approach problem-solving, especially in data governance and security.
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’re considered for the role without any hiccups!
How to prepare for a job interview at Advanced Resource Managers
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data architecture, database design, and data engineering. Brush up on your SQL skills and be ready to discuss your experience with various database technologies like Oracle or PostgreSQL. Being able to talk confidently about your past projects will show that you’re the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you’ve approached challenges in previous roles, especially around data quality and governance. Use specific examples to illustrate your problem-solving process and how you’ve implemented solutions effectively.
✨Understand the Business Side
It’s not just about the tech! Be ready to discuss how you’ve collaborated with business stakeholders to translate their data needs into technical solutions. This shows that you can bridge the gap between technical and non-technical teams, which is crucial for a Data Architect.
✨Stay Updated on Trends
Familiarise yourself with the latest data technologies and tools, especially those related to ETL/ELT processes and AI/ML data pipelines. Being knowledgeable about current trends will demonstrate your commitment to continuous learning and innovation in the field.
