Job ID: 2019-10014 Type: Full-Time # of Openings: 1 Category: Information Technology Princeton University
The Research Data Storage Analyst reports to the Associate Director, Research Computing Systems and Storage and works as part of a team that supports the hardware and system level software on the university's TIGRESS centralized high performance computing systems and other research computing systems.
Responsibilities include working with faculty, vendors, and IT staff to design and specify research computing systems and storage used in data intensive research, as well as installing and administering those systems.
The analyst helps end-users to troubleshoot system level problems with software, data, and job submission and also teaches workshops and mini-courses in research data archival and management related topics as needed by the university's research community.
The position requires working closely with colleagues in OIT, the Library, the Office of the Dean for Research, and technical staff in university departments to provide timely and creative support for long term data storage and retrieval for research computing. This individual works both with teams and independently, requiring only general supervision.
Expertise with big data system administration, installation, and troubleshooting including Hadoop, MySQL, and PostgreSQL.
Experience managing computational and storage hardware including parallel filesystems like GPFS and/or Lustre, as well as ‘cloud’ storage systems.
Experience managing systems that process and store restricted use, confidential, and personally identifiable data in a secure and private manner.
Strong oral and written communication skills.
Ability to respond promptly and professionally to customer requests.
Minimum of five years of experience as a big data system administrator.
Ability to apply skills and knowledge to solve routine and moderately complex problems in a Linux operating system environment.
Demonstrated successes working in a collaborative environment as well as independently.
Ability to learn new systems beyond area of core knowledge.
The ability to communicate effectively with a diverse user base having varied levels of technical proficiencies.
Proactively seeks information and ideas from peers, supervisors, and customers.
Ability to handle multiple priorities.
A bachelor’s degree in science, information technology, mathematics, computer engineering, or a related computational field required or a Masters/Ph.D. in computer science or other related field with a strong computational focus preferred.
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW
Internal Number: 108316595
About Princeton University
Princeton University is a vibrant community of scholarship and learning that stands in the nation's service and in the service of all nations. Chartered in 1746, Princeton is the fourth-oldest college in the United States. Princeton is an independent, coeducational, nondenominational institution that provides undergraduate and graduate instruction in the humanities, social sciences, natural sciences and engineering.As a world-renowned research university, Princeton seeks to achieve the highest levels of distinction in the discovery and transmission of knowledge and understanding. At the same time, Princeton is distinctive among research universities in its commitment to undergraduate teaching.Today, more than 1,100 faculty members instruct approximately 5,200 undergraduate students and 2,600 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education.