Scientific Data Management, Mid-Level

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Job Summary:

SLAC National Accelerator Laboratory is the U.S. Department of Energy's national lab at Stanford University. They are seeking a Big Data Architect to develop data management tools that support LCLS scientific capabilities and manage systems for handling large scientific datasets. The role involves overseeing data transfer processes, ensuring data integrity, and collaborating with scientists and engineers to enhance data management solutions.

Responsibilities:

• Work with the LCLS Data Systems team, beamline scientists, SLAC Shared Scientific Data Facility, and SLAC IT to ensure the complete and timely delivery of data from LCLS instruments to the S3DF and remote DOE computing facilities.

• Oversee the LCLS data repositories, ensure their integrity, enforce data retention and access policies, and manage data movement for purposes of analysis or archival.

• Interface with the LCLS Data Systems team and Department of Energy Advanced Scientific Computing Facility partners to understand future data requirements and design Big Data systems that are scalable, optimized, and fault-tolerant, specifically in the context of multi-facility data processing.

• Develop, test, implement, and maintain database management applications.

• Contribute to the development of guidelines, standards, and processes to ensure LCLS data quality, integrity, and security of systems and data.

• Partner with LCLS scientist data owners and Data Systems team members to understand the types of data collected at LCLS and suggest new tools or methods to improve data ingestion, storage, and access to LCLS datasets to ensure data are FAIR and AI-ready.

• Document system builds and application configurations; maintain and update documentation as needed.

• Serve as a technical resource for applications.

• Follow team software development methodology.

• Other duties may also be assigned.

Qualifications:

Required:

• Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience.

• Demonstrated experience in designing, developing, testing, and deploying applications.

• Strong understanding of data design, architecture, relational databases, and data modeling.

• Knowledge of key data structures, algorithms, and techniques pertinent to systems that support high-volume, high-velocity, or high-variety datasets, including data mining, machine learning, NLP, and data retrieval.

• Experience in parallel and distributed data processing techniques and platforms (MPI, Map Reduce, Batch).

• Experience in scripting languages and debugging.

• Ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies.

• Experience deploying reliable data systems and data quality management.

• Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable Big Data platforms.

• Thorough understanding of all aspects of the software development life cycle and quality control practices.

• Strong communication skills with both technical and non-technical clients.

• Ability to select, adapt, and effectively use a variety of programming methods.

• Ability to recognize and recommend needed changes in user and/or operations procedures.

Preferred:

• Experience with libraries and frameworks such as Rucio, Kafka, ZeroMQ, Kubernetes, Jupyter, and Grafana is a plus.

Company:

SLAC National Accelerator Laboratory is the U.S. Department of Energy's national lab at Stanford University. It is a sub-organization of Stanford University. Founded in 1962, the company is headquartered in Menlo Park, California, USA, with a team of  employees. The company is currently Late Stage.

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Full-time

• Industries Software Development

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