Research Data Solutions Architect (dissc)

Yale University

New Haven, Connecticut, US
Base: $68,000.00 - $120,500.00; bonus/equity: not ...
Hybrid
Experience designing large-scale data pipelines
Knowledge of etl processes and data modeling
Understanding of research data workflows
Yale University is seeking a Research Data Solutions Architect to support social science research by designing data pipelines and managing data storage solutions. The ideal candidate will have a strong background in data engineering, experience in academic research environments, and the ability to collaborate effectively with faculty and researchers

Job Summary

  • The Data Intensive Social Science Center (DISSC) at Yale provides world-class support to ensure social science research remains at the frontiers of each discipline.
  • This role involves building automated research data pipelines and centralized storage architectures like data lakes to efficiently ingest and securely share data across campus.
  • The ideal candidate will work closely with faculty, staff, and partners to translate complex research needs into robust technical requirements for data infrastructure.

Matching Summary

Match Score: 85

Yale University is seeking a Research Data Solutions Architect to support social science research by designing data pipelines and managing data storage solutions. The ideal candidate will have a strong background in data engineering, experience in academic research environments, and the ability to collaborate effectively with faculty and researchers.

Salary

Base: $68,000.00 - $120,500.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Experience designing large-scale data pipelines
  • Knowledge of ETL processes and data modeling
  • Understanding of research data workflows
  • Experience with cloud data platforms
  • Strong documentation and technical specification skills

Nice-to-have

  • Experience building data products for academic institutions
  • Familiarity with machine learning workflows
  • Contributions to open-source data engineering projects
  • Knowledge of metadata management tools
  • Interest in interdisciplinary data resources

Key Requirements

  • Bachelor's Degree in a related field
  • Four years of related experience in academic or scientific research support
  • Experience handling sensitive research data compliance

Work Rights

Not specified

Tailored Resume

Cover Letter