Data Architect
Edinburgh - Central Area, Midlothian, United Kingdom
Full Time Senior-level / Expert GBP 48K - 59K
The University of Edinburgh
Edinburgh. Extraordinary futures await. The University of Edinburgh is one of the world's top universities. Our entrepreneurial and cross-disciplinary culture attracts students and staff from across the globe, creating a unique Edinburgh...Grade - UE08: £48,350 - £59,421
College of Science & Engineering - EPCC
Full time - 35 Hours Per Week
Contract Type - Open ended
EPCC at the University of Edinburgh is the UK’s leading centre for Supercomputing and Data Analytics. We are seeking a Data Architect to work as technical lead in maximising the capabilities of the Edinburgh International Data Facility (our AI and Data Science infrastructure) to ensure the provision aligns with the requirements of our high profile academic, public sector and commercial stakeholders. From day one you will be working to improve a platform already used for some of today’s most exciting, challenging and high-profile data science research projects in the broad area of data engineering, large-scale data analytics and distributed data systems. You will pro-actively represent the key requirements of the School of Informatics (which has critical research driven AI and Data Science needs) so that they have significant influence on the architectural and prioritisation decisions taken for the EIDF platform going forward. Therefore, individuals who can effectively communicate and collaborate are particularly sought. You must be technically excellent with analysis, design and software engineering skills in C/C++, Java or Python. You will have a track-record of successfully completed projects and a high degree of analytical and intellectual curiosity. You will have expert understanding of job scheduling, resource sharing and prioritisation, using systems such as Kubernetes and Slurm, GPU’s, containerisation and distributed filesystems. In-depth knowledge of the current technology trends in “big data”, including frameworks for advanced analytics, machine learning and generative AI, is essential.
Click here https://uoe.sharepoint.com/:w:/s/jobdescriptionlibrary/EZD9wYF3H3hKlQCN6_lP7KoBVapjZsVfbg1IQ5KfV3Oxcw to view a copy of the full job description
As a valued member of our team you can expect:
A competitive salary of - £48,350 - £59,421
An exciting, positive, creative, challenging and rewarding place to work.
To be part of a diverse and vibrant international community
Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits
Championing equality, diversity and inclusion
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.
Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab).
The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa.
Key dates to note
The closing date for applications is 8 May 2024
Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.
As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.
Tags: Athena Big Data Data Analytics Engineering Generative AI GPU Java Kubernetes Machine Learning Python Research SharePoint Teaching
Perks/benefits: Career development Competitive pay Flex hours
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