Data Architect

Job Title: Data Architect

College of Science & Engineering - EPCC

Full time - 35 Hours Per Week

Contract Type - Open ended (permanent)

The University of Edinburgh's EPCC is seeking a Data Architect to lead the technical development of the Edinburgh International Data Facility (EIDF). As a key member of our team, you will be responsible for designing and implementing a data infrastructure that meets the needs of our high-profile academic, public sector, and commercial stakeholders.

You will work closely with our stakeholders to understand their data requirements and ensure that the EIDF platform aligns with their needs. This will involve collaborating with researchers, developers, and other stakeholders to design and implement data solutions that meet their requirements.

As a Data Architect, you will have a strong understanding of data engineering, large-scale data analytics, and distributed data systems. You will be responsible for designing and implementing data pipelines, data warehouses, and other data infrastructure components. You will also be responsible for ensuring the security, scalability, and performance of the EIDF platform.

We are looking for a highly skilled and experienced Data Architect who can lead our team in the design and implementation of the EIDF platform. If you have a strong background in data engineering, a passion for innovation, and excellent communication skills, we encourage you to apply for this exciting opportunity.

Key Responsibilities:

• Design and implement data infrastructure components, including data pipelines, data warehouses, and data lakes.
• Collaborate with stakeholders to understand their data requirements and ensure that the EIDF platform meets their needs.
• Develop and maintain data architecture documentation, including data models, data flows, and data governance policies.
• Ensure the security, scalability, and performance of the EIDF platform.
• Stay up-to-date with the latest data engineering trends and technologies, and apply this knowledge to improve the EIDF platform.

Requirements:

• Strong background in data engineering, large-scale data analytics, and distributed data systems.
• Excellent communication and collaboration skills.
• Ability to design and implement data infrastructure components, including data pipelines, data warehouses, and data lakes.
• Experience with data governance policies and data security best practices.
• Strong understanding of data architecture principles and data modeling techniques.

What We Offer:

• A competitive salary and benefits package.
• The opportunity to work on a high-profile project with a talented team of researchers and developers.
• A dynamic and supportive work environment.
• The chance to make a real impact on the development of the EIDF platform and the research community it serves.