Research Data Solutions Architect (DISSC)

Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community- eligible for opportunities through the New Haven Hiring Initiative or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale!

Salary Range
$68,000.00 - $120,500.00

Overview

The Data Intensive Social Science Center (DISSC) at Yale provides Yale's social scientists with a world class, user-centered, support organization to ensure that Yale social science research remains at the frontiers of each social science discipline. DISSC, working with its partners throughout the Yale community, supports the entire research lifecycle including the acquisition, secure storage and management, analysis, and dissemination of existing and novel data resources transforming social science research.

The architect will serve as part of our research support unit while specializing in data engineering and data architecture tasks necessary to support the ingestion, management, curation and sharing of data used by teams across the university. Yale seeks to build automated research data pipelines, along with centralized storage architectures (e.g. datalakes, lake houses etc.) to efficiently ingest data and to appropriately and securely share across campus. In this role, the architect will work closely with colleagues at Yale Library and at other groups to develop solutions both on-premises and in the cloud. The goal is to enhance the use of these licensed and procured data to provide cutting edge insights across Yale.

This is an incredible opportunity for an experienced data professional who is curious to learn and is motivated by the opportunity to build and support this organization. The architect will be part of an integrated team sharing expertise and learning from one another to support cutting-edge research. The ideal candidate is a knowledgeable data enthusiast interested in exploring new interdisciplinary data resources and working to learn and implement new data architectures and systems including cloud and high-performance computing environments. This person also has experience developing or delivering research services in an academic setting, understands the social science research process, and has skills and experience in the use of various tools for information access, management, analysis, and presentation. They must enjoy working both independently and cooperatively with others in the DISSC research support unit, on multiple projects involving varieties of data sources, customers, and analytical tools.

Required Skills and Abilities

1:Experience in designing and managing large-scale data pipelines and data storage solutions, with an understanding of best practices for handling sensitive research data.

2:Experience in data modeling, ETL processes, and cloud data platforms, with exposure to issues in ensuring data integrity, security, and compliance with relevant regulations and standards.

3:Understanding of research data workflows and academic/scientific research requirements. Knowledge of social science research methods and ability to translate research needs into technical requirements.

4:Strong organizational skills, attention to detail, and ability to prioritize and manage multiple assignments simultaneously. Excellent documentation skills and ability to create technical specifications

5:Strong interpersonal skills, communication skills, and the ability to interact well with faculty, staff, and research partners internally and externally.

Preferred Skills and Abilities

1.Experience building data products for research or academic institutions

2.Knowledge of metadata management and data catalog tools

3.Familiarity with machine learning workflows and model deployment pipelines

4Contributions to open-source data engineering projects

Principal Responsibilities

1. Consult to faculty and researchers regarding their projects and needs related to data infrastructure and data-related processes. Discuss suggested project designs solutions.
2. Work with procurement and legal teams to assist researchers to locate and acquire data resources.
3. Aid with maintenance and management of data through all phases of research lifecycle; review progress and assure accuracy and compliance of data being acquired and stored.
4. Provide technical support and computing assistance to faculty and researchers in the university's social science departments and schools.
5. Implement statistical methods for descriptive and causal designs and learn new research methods as needed.
6. Develop archiving and dissemination solutions for research across disciplines.
7. May perform other duties as assigned.

Required Education and Experience

Bachelor's Degree in a related field and four years of related experience in academic or scientific research support or an equivalent combination of education and experience.

Required License(s) or Certification(s)

Required License(s) or Certification(s):

Physical Requirements

Physical Requirements:

Job Posting Date
01/27/2026

Job Category
Professional

Bargaining Unit
NON

Compensation Grade
Administration & Operations

Compensation Grade Profile
Manager; Program Leader (P5)

Time Type
Full time

Duration Type
Staff

Work Model
Hybrid

Location
37 Hillhouse Avenue, New Haven, Connecticut

Background Check Requirements

All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.

Health Requirements

Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy.

Posting Disclaimer

Salary offers are determined by a candidate's qualifications, experience, skills, and education in relation to the position requirements, along with the role's grade profile and current internal and external market conditions.

The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job-related duties through their hiring department.

The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.

Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).

Note

Yale University is a tobacco-free campus.