Scientific Data Architect
Lawrence Berkeley National Laboratory
Berkeley, CA 94720
DescriptionScientific Data Architect - 96084
Division: NE-NERSC

The National Energy Research Scientific Computing (NERSC, Center at Berkeley Lab is seeking a Scientific Data Architect to collaborate with scientists to enable their Data, AI and Analytics needs using NERSC supercomputers.

NERSC provides high performance computing services to the Department of Energy's Office of Science programs, including High Energy Physics, Basic Energy Sciences, Fusion Energy Sciences, and Biological and Environmental Research. NERSC is currently deploying Perlmutter, a supercomputer featuring a GPU partition with over 6000 GPUs as well as an all-flash filesystem and high-performance networking for data-centric computing. The DAS Group at NERSC is responsible for providing data, AI and analytics software, services and support for NERSC systems.

In this exciting role, you will be responsible for ensuring NERSC systems have a high performing data and AI software stack available for NERSC users, providing guidance for some of NERSC’s data management, transfer, storage, I/O tools, containers, and services. You will also be part of multidisciplinary and cross-institution scientific projects, working with scientists and instruments from around the world.

What You Will Do:
• Ensure NERSC systems provide a high performing and usable software stack for data analytics, machine learning, data management, I/O, container, or data transfer workloads. Expertise in one of these areas will be expected.
• Provide guidance via user support, including one-on-one support, training and documentation on data and analytics services at NERSC.
• Build partnerships and collaborations with scientists from across Berkeley Lab and the Department of Energy Office of Science community.

Additional Responsibilities as needed:
• Mentor early career staff members in data analytics, data transfer, data management or AI/ML techniques.
• Stay abreast of new and emerging data analytics and AI research and trends, through R&D collaborations, literature, workshops and conferences; translate these new directions into actionable opportunities for NERSC or NERSC users.
• Develop strategy for addressing both performance, as well as productivity requirements of the NERSC Data science community.

Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit:

• This is a full-time career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework or remote modes.

How To Apply
Apply directly online at and follow the on-line instructions to complete the application process.

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit ( for more information.

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links:
Know your rights, click here ( for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision ( under 41 CFR 60-1.4.
RequirementsWhat is Required: • A minimum of 8 years of related experience with a Bachelor’s degree in STEM; or 6 years and a Master’s degree; or equivalent experience. • Expertise in at least one data technology is required. These include: machine learning, data analytics, data management tools, I/O, storage systems, workflow tools, and databases. Experience of multiple such technologies is a plus. • Experience working with scientific domains and scientific datasets. • Experience in developing code in at least one language (ideally Python or C/C++). • Good knowledge of the Linux environment. Desired Qualifications: • PhD Physical Sciences, Computer Science or related field and 12 years of experience. • Experience with the Production HPC environment and deploying services at scale. • Understanding of single-node performance (code optimization) and multi-node scaling issues for the data science portfolio. • Experience of developing and maintaining software documentation and conducting training and outreach activities. • A minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience. • Broad expertise and/or unique knowledge in the areas of data technology. • Excellent communication and interpersonal skills. • Demonstrated ability to work effectively as part of a cross-disciplinary team.
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Back To Top Button