Description Tufts Technology Services (TTS) is a university-wide service organization dedicated to the strategic planning, implementation, and support of technology products and services that anticipate and meet the academic, research, clinical and business needs of the Tufts community. TTS offers technical leadership and services to our customers with a focus on providing innovative solutions, delivering exceptional customer service, and creating a reliable infrastructure that demonstrates value to the students, faculty, staff, and alumni of Tufts University. TTS works in partnership with schools, business units, and other academic support organizations to provide campus-wide IT services in the areas of academic and research technology, enterprise application systems and services, networking and telecommunications, information security, data center operations, web services, classroom and computer lab technology support, and user support, training and outreach. Reporting to the Associate Director, Business Intelligence, the Data Architect is responsible for the design, development and deployment of solutions in support of a broad range of data assets related to the student experience, financial management, employee metrics, and budgetary analysis. This role combines a strategic perspective with an emphasis on delivering solutions. The Data Architect will work closely with the other members of the BI development team building robust data pipelines bringing both structured and unstructured into the analytic environment. The Data Architect will also coordinate and communicate with various Tufts departments regarding data capture and curation strategies. While the primary focus of this role will be on administrative needs, there will be an opportunity to collaborate in other academic spaces in support of broader strategic programs including but not limited to geo-spatial data, text based data, natural language query and other data sources as appropriate. The ideal individual will have a deep understanding of traditional data warehousing strategies as well as a keen appreciation of modern data architectures.
Organization: Tufts Technology Services
Employee Status: Regular
Qualifications Basic Requirements:
Bachelor's Degree in Computer Science, Engineering, Data Science or related discipline, 8 years of related experience.
Strong understanding of systems development life cycle.
Demonstrated skills in data modeling and design.
Strong knowledge and background in statistics and quantitative methods.
Strong knowledge of a scripting languages such as Python and Node
Experience linking multiple data platforms containing different data types (structured, unstructured, open , social media, etc.)
Must be self- starter with ability and interest to learn new technology.
Strong communication skills with ability to coordinate and communicate effectively with clients.
Demonstrate creativity and innovative problem solving skills. Preferred Qualifications:
Experience with database management systems (DBMS), Oracle, MSSQL, MySQL.
Background in data reporting solutions and visualization techniques using, Business Objects, Tableau, etc.
Experience with Solr. , natural language processing, and RESTful APIs. Special Work Schedule Requirements: Occasional evening or weekend work, as well as the ability to participate in a 24x7 on call rotation for major incident support activities. Ability to travel between Tufts campuses. Tufts University is an AA/EO employer and actively seeks candidates from diverse backgrounds. Please see the Tufts University non-discrimination statement.