Princeton University Hiring for Research Data Storage Analyst at New Jersey, United States Full Time

US-NJ-Princeton

Job ID: 2022-15727
Type: Full-Time
# of Openings: 1
Category: Information Technology

Princeton University

Overview

Do you
want to be part of a team that supports world-leading researchers
by delivering innovative data storage and management services?
Would you enjoy collaborating with faculty and researchers to
design and implement solutions that best support their research
needs? Are object storage and/or parallel file systems among your
specialties? If so, the Research Computing department at Princeton
University is looking for a Research Data Storage Analyst to join
its team and help guide the direction of TigerData, a data storage
and management service that supports the advancement of research at
Princeton University.

As a
member of the advanced data and storage management team, you will
partner with colleagues in the University Library, research
faculty, vendors, and IT staff to collaboratively design, install,
and administer data storage systems and related software to the
specifications needed for the implementation of TigerData. You will
monitor and troubleshoot system-level issues, manage network
configurations, and assist with the administration of
high-performance computing storage systems.Working closely with
campus colleagues, you will also provide timely and creative
support to faculty and researchers as it relates to long-term data
storage and retrieval.

Responsibilities

• Install, maintain, and administer research data storage and
  retrieval systems
• Install, maintain, and support data archival and retrieval
  software, and data movement schedulers on the systems
• Partners with developers to properly support the creation of
  automated processes and workflows for departmental use of
  TigerData
• Monitor system and network health and performance and resolve
  issues related to storage
• Tune the TigerData and HPC storage systems software and
  hardware to adapt to the changing needs and usage patterns of our
  faculty and researchers
• Managing networking configurations
• Assist with the administration of high performance computing
  storage systems
• Use scripting and programming tools (bash, Python, and/or Perl)
  and perform basic debugging
• Design, install, and administer the TigerData HPC storage
  systems
• Manage a multitude of data buckets/vaults and their related
  access keys, install and configure middleware, and manage user
  access and group creation in TigerData
• Manage diverse file systems including Isilon, IBM Spectrum
  Scale, and others
• Manage the underlying heterogeneous storage infrastructure that
  makes up TigerData including the ability to tune each storage
  system appropriately to meet performance needs
• Applying best practices to install, configure, and operate data
  intensive research systems both on-premises and in the cloud
• Keeping abreast of and learning about emerging storage
  technologies and develop those that will bring value to the
  populations served by Research Computing
• Consult with the University Library, faculty, researchers,
  vendors, and IT staff to determine storage and data movement
  requirements and needs

Qualifications

Essential Qualifiactions

• Minimum of 3-5 years of experience as a storage system
  administrator in a research environment
• Expertise in object storage systems and POSIX file systems
• Experience supporting various storage solutions, including
  cloud object storage systems, Isilon, and parallel file systems,
  such as SpectrumScale (GPFS) and/or Lustre
• Experience securing and managing systems that process and store
  restricted use, confidential, and personally identifiable data
• Ability to solve routine and complex data storage and movement
  problems
• Experience with tuning storage systems
• Expertise in managing protocols for sharing the data (NFS,
  CIFS, Globus)
• Experience with scripting and programming tools like bash,
  Python, and/or Perl
• Ability to respond promptly and professionally to customer
  requests
• Demonstrated successes working in a collaborative environment,
  as well as independently
• Ability to learn new systems beyond area of core knowledge
• Ability to communicate and collaborate effectively with a
  diverse user base having varied levels of technical
  proficiencies
• Experience using HAProxy for network configuration
• Ability to proactively seek information and ideas from peers,
  supervisors, and customers
• Ability to handle multiple priorities
• Education: A bachelor’s degree in science, information
  technology, mathematics, computer engineering, or a related
  computational field.

Preferred Qualifications

• Expertise with big data system administration, installation,
  and troubleshooting
• Experience with cloud storage solutions
• Familiarity with complex data sets
• Experience managing databases, such as MySQL or PostGreSQL
• Experience with the MediaFlux software platform
• A Masters or Ph.D. in computer science or other related field,
  coupled with a strong computational focus, is 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

PI193112884