[Hiring] Principal Data Analytics Engineer @Tufts University

Role Description

The Principal Data Analytics Engineer is responsible for the design and development of Denodo data virtualization services implemented to optimize the use of data across the University. The person in this position will also play an essential role in our goal to utilize AWS for much of our data infrastructure and is also responsible for providing first line technical support of the integration software used by University College. This is a highly visible leadership role within Tufts Technology Services, and it is expected that the individual in this position will often be called upon to provide technical consultation to other groups in TTS.

• Design and implementation of our Denodo data virtualization architecture with subsequent maintenance and support.
• Play a leadership role in the development of our AWS architecture and evangelize the use of the Tufts AWS landing zone with TTS.
• Provide broad technical leadership both within the Data Strategy group and within TTS as a whole.
• Maintain expert knowledge regarding new tools being developed for use in the domain of data movement, transformation, and use.
• Work closely with internal customers in designing and implementing event-driven systems according to their needs. Primary technical contact for University College.

Qualifications

• Bachelor's Degree and 8 plus years of experience.
• Demonstrated experience in working in AWS cloud environment.
• Expert Python skills.
• Strong SQL skills.
• 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.

Requirements

• Degree in Computer Science with 10+ years of experience (preferred).

Pay Range

• Minimum: $128,500.00
• Midpoint: $160,700.00
• Maximum: $192,800.00
• Salary is based on related experience, expertise, and internal equity; generally, new hires can expect pay between the minimum and midpoint of the range.