Principal Data Analytics Engineer

Tufts Technology Services (TTS) is a university-wide service organization committed to delivering adaptable, results driven technology solutions in support of Tufts' mission of teaching, learning, research, innovation, and sustainability. With staff working remotely, hybrid and on campus across Tufts University, as well as a 24x7 IT Service Desk, we collaborate with schools and divisions to meet the demands of a global, mobile, and diverse community. We promote a collaborative, forward-thinking, flexible work environment, embrace diversity and inclusion, and encourage personal and professional development.

Fostering a culture of organizational citizenship and making others successful, demonstrating integrity, ethical conduct and optimism, active contribution and continuous learning enables staff to serve the goals and values of the University and creates a fulfilling and positive work experience for all.

As a member of the Data Strategy & Engineering (DSE) team, the Principal Data Analytics Engineer will lead key data and analytics engineering initiatives, including end to end ownership for designing and deploying data solutions. The ideal candidate will have 8+ years of technical experience and 5+ years of experience building and maintaining complex data pipelines. A Principal Engineer is expected to be able to tackle the most challenging problems independently, and to have an organization-wide impact through defining and exemplifying technical best practices. The individual filling this highly visible position will be key to helping Tufts enhance our data platforms in a way that enables data driven decisions, processes and insight to areas across the University. This position is fully remote.

• Design and implementation of key data pipelines, platforms, and products with subsequent maintenance and support. Act as technical lead on multi-contributor projects and tackle complex projects independently.
  
• Provide broad technical leadership within both DSE and TTS as a whole. Coach and mentor other engineers, participate in organization-wide leadership teams, etc.
• Play a leadership role in the development of our cloud architecture and evangelize the use of cloud resources within TTS.
  
• Maintain expert knowledge regarding new tools being developed for use in the domain of data movement, transformation, and use.

Basic Requirements:

• Skills and knowledge typically acquired through a Bachelor's degree in Computer Science or a related field and 8+ years of experience
• Expert Python skills
• Strong SQL skills, preferably with a Postgres-based DBMS
• Demonstrated experience working in a cloud environment, preferably AWS
• Strong experience working in a Linux-based environment
• Experience with version control systems, preferably Git
• A demonstrated ability to produce highly reliable, production grade systems
• Strong communication skills and the ability to engage and work well in a team with a remote workforce
• A deep desire to learn

Preferred Qualifications:

• Experience with an event-based integration platform, especially Kafka, strongly preferred.
• Experience with data virtualization platforms, especially Denodo, strongly preferred.
• Experience with containerization, automation and/or infrastructure as code (IaC) solutions, preferably Docker, Github Actions and/or Terraform.