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For Companies At a Glance
- Tasks: Design and implement cutting-edge data architecture solutions for enterprise-level projects.
- Company: Join a leading tech consultancy in Edinburgh with a focus on innovation.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for professional growth.
- Why this job: Make a real impact by optimising data solutions and collaborating with talented teams.
- Qualifications: Bachelor's degree in STEM and strong experience in data architecture or engineering.
- Other info: Exciting 6-month contract with potential for career advancement.
The predicted salary is between 55 - 69 £ per hour.
Overview
Data Architect – Edinburgh – 6-Month contract – Paying up to £69p/h (Inside IR35)
Please note - due to the nature of the work, you will need to hold or be eligible to obtain a high level of UK Security clearance - please only apply if suitable.
Key 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 employer: Advanced Resource Managers Ltd
Contact Detail:
Advanced Resource Managers Ltd 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 data field, attend meetups, and join online forums. You never know who might have the inside scoop on a Data Architect role 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 pipelines you've built. This will give potential employers a taste of what you can do beyond just 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 demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience in data architecture, database design, and any relevant technologies you've worked with. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed or implemented data solutions. This gives us a clear picture of your hands-on experience and problem-solving skills. Don't be shy about sharing your successes!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication!
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. Plus, it’s super easy!
How to prepare for a job interview at Advanced Resource Managers Ltd
✨Know Your Data Architecture Inside Out
Make sure you brush up on your knowledge of data architecture principles, especially around databases, data warehouses, and data lakes. Be ready to discuss your past experiences and how they relate to the responsibilities outlined in the job description.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in SQL and any relevant database technologies like Oracle or PostgreSQL. You might be asked to solve a problem on the spot, so practice some common SQL queries and be ready to explain your thought process.
✨Understand Data Governance
Familiarise yourself with data governance frameworks and compliance requirements. Be prepared to discuss how you've implemented these in previous roles and how you would approach them in this new position.
✨Communicate Clearly and Confidently
Since excellent communication skills are a must, practice explaining complex technical concepts in simple terms. This will help you connect with business stakeholders during the interview and show that you can bridge the gap between technical and non-technical teams.
