Principal Data Analytics Engineer

Tufts Technology Services (TTS) is Tufts' trusted leader in technology partnership, support, and enablement, delivering solutions in service of the university's mission. TTS works closely with school and central division partners to meet the technology needs of the Tufts community across our three campuses and throughout our global networks. Our holistic understanding of the Tufts landscape, our dedicated multidisciplinary team, and our IT Service Desk position TTS to provide practical solutions to current challenges and creative, sustainable new approaches as technologies and university priorities evolve.

We are a community of problem-solvers, innovators, and stewards of trust who take pride in building technology foundations that are reliable, secure, and designed for the future. We bring together technology expertise across academic, clinical, infrastructure, operations, research, and student domains, applying our knowledge of digital transformation and effective user experiences. Guided by our core values of innovation, integrity, collaboration, optimism, supporting success, and community-centered service, we're not just maintaining technology-we're shaping how it enables discovery, connection, and impact across the university and beyond.

• Lead the design, implementation, and ongoing support of data virtualization architecture to optimize data movement, transformation, and utilization across Tufts University School of Dental Medicine
• Serve as the primary technical contact for TUSDM, providing first-line support for data usage needs and ensuring responsive, high quality customer service across all levels of the organization.
• Collaborative with internal stakeholders to gather and document technical and functional requirements, translating business needs into scalable data solutions. Partner with internal customers to design and implement event-driven systems tailored to their operational and analytical needs.
• Develop and maintain interactive dashboards and analytics reports, enabling data-driven decision-making for faculty, staff, and senior administrators.
• Provide expert technical guidance and consultation to senior administrators, faculty, and staff; convene and lead data analytics initiatives involving complex applications of data science, technology, and learning science; offer strategic technical leadership across Dental IT and TTS to advance data capabilities and infrastructure; and stay current with emerging data engineering and analytics tools and technologies, proactively evaluating and recommending solutions to enhance institutional data strategy.
• Successful TTS staff are known for effectively applied expertise, continuous learning, thoughtful attention to detail, timely and appropriately calibrated follow-up, proactive and constructive problem solving, openness to new approaches, and for building effective partnerships and trust within TTS, across the university, and (where relevant) with external partners. All TTS staff are expected to follow departmental shared administrative practices, including effective planning and communication around time off, attending required TTS and university trainings, and developing professional goals as part of the PDP planning process. TTS staff are also responsible for working in ways that align with the TTS vision statement and for being aware of and following individual group and department-wide shared practices.
• Coach and mentor more junior staff in the adoption of TTS department-wide shared practices. Foster a positive, collaborative, and inclusive culture that empowers cross-functional teamwork. Actively participate in ELT workshops, trainings, and meetings.

• Bachelor's Degree Knowledge and experience typically acquired through the completion of a BS and 8 plus years of experience Required
• Bachelor's Degree Computer Science with 10+ years of experience Preferred
• Expert Tableau and Power BI skills
• Strong SQL skills
• Demonstrated experience in working in Denodo
• Basic familiarity in the area of data virtualization
• Staff must have a personal mobile device to be reached after hours or while on campus if needed.

• Bachelor's Degree in Computer Science with 10+ years of experience