Research Data Solutions Architect (dissc)

Yale University

New Haven, US
$68,000.00 - $120,500.00; not specified; not speci...
Primarily remote, with occasional on-site requirements a couple of times per month.
Designing large-scale data pipelines
Managing large-scale data storage
Data modeling and etl processes
Yale University is seeking a Research Data Solutions Architect to support the Data Intensive Social Science Center (DISSC). The role involves managing data pipelines and storage solutions while collaborating with faculty and researchers to enhance social science research

Job Summary

  • The Data Intensive Social Science Center (DISSC) at Yale provides world-class, user-centered support for social science research, transforming research through data acquisition, secure storage, analysis, and dissemination.
  • The architect will build automated research data pipelines and centralized storage architectures (e.g., datalakes, lake houses) to efficiently ingest and securely share data across campus, working on-premises and in the cloud.
  • This role offers an opportunity for an experienced data professional to build and support an organization, work with an integrated team, and learn new data architectures and systems, including cloud and high-performance computing environments.

Matching Summary

Match Score: 85

Yale University is seeking a Research Data Solutions Architect to support the Data Intensive Social Science Center (DISSC). The role involves managing data pipelines and storage solutions while collaborating with faculty and researchers to enhance social science research.

Salary

$68,000.00 - $120,500.00; Not specified; Not specified

Skills & Requirements

Must-have

  • designing large-scale data pipelines
  • managing large-scale data storage
  • data modeling and ETL processes
  • cloud data platforms
  • research data workflows
  • social science research methods

Nice-to-have

  • building data products for research
  • metadata management and data catalog
  • machine learning workflows
  • open-source data engineering projects

Key Requirements

  • Bachelor's Degree and four years of experience
  • Experience in academic or scientific research support
  • Equivalent combination of education and experience

Work Rights

Not specified

Tailored Resume

Cover Letter