Analytical Engineering Lead
At GFiber, we believe that great internet has the power to drive innovation, strengthen communities, enable the impossible, and do all the everyday things that make all of our world go round. And the job of creating better internet is never done - so we’re growing! Our team is committed to building a place where people who want to make a difference can grow their careers and find their spot to belong.
GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States. Our teams are expanding as we connect more cities and people to exceptional internet.
The application window will be open until at least May 4th, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
GFiber’s mission is to deliver abundant internet on networks that are always fast and always open with products that are easy to understand and clearly priced. We believe customers deserve a better internet experience and everything we do is focused on providing just that. On our team, you’ll work in an environment that’s redefining the status quo in the Internet industry. Within the Data Community team, you’ll be the Analytical Engineering Lead - owning the modeling, maintenance, improvement, data quality, cost optimization, and scalability of our core data architecture that the entire downstream analyst community queries.
Role Description
As an Analytical Engineering Lead, you will take all the raw data pipelines and, using Google Cloud Platform (GCP), write simplified and streamlined foundational scripts for our data community. You’ll closely collaborate with GFiber’s engineering and data community, as well as business subject matter experts in Sales, Marketing, Operations, and Finance to have the right information to stand up and maintain core data infrastructure that best serves them. While also remaining highly technical and writing scripts yourself, you’ll also have the opportunity to manage.
In this role, you'll:
- Maintain, add to, and improve foundational scripts and pipelines that join raw data from Engineering, setting analysts up for success to develop reports, visuals, and insights.
- Provide technical leadership on Looker/GCP deployment architecture, development guidelines, data delivery layer, optimization efforts, access configurations, and AI usage.
- Perform data modeling across multiple business domains to unlock efficient analytical problem-solving and deep dives - working with large, complex data sets.
- Collaborate with a wide variety of cross-functional partners, including senior management, to understand business needs, formulate, and complete end-to-end data intelligence infrastructure.
- Manage the team workload and bandwidth, communicating expected quarterly deliverables, adhoc asks, and updating timelines.
At a minimum we'd like you to have:
- 8 years of experience in data modeling/architecture, pipeline optimization, data engineering.
- Experience supporting a central support arm for data communities, including the setting up projects, Vertex AI, data sets, data form reports, etc in Google Cloud Platform (GCP).
- Experience leveraging SQL for data manipulation and optimization.
- 2 years of leadership in a technical role, with management experience
It's preferred if you have:
- Understanding of how a System and Tool landscape works in harmony with data and analytics, and can partner with Engineering to improve this relationship.
- Ability to build productive and beneficial relationships with cross-functional teams.
- Experience in defining and documenting processes, training and best practices, and strategies for existing and future business intelligence solutions.
- Ability to balance multiple projects and deadlines simultaneously.
The US base salary range for this full-time position is between $157,600 - $231,400 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.
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GFiber is committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, citizenship, marital status, disability or Veteran status. Disclosure is voluntary, and this information will be kept confidential in compliance with Google's Candidate Privacy Policy. For more information please refer to our Equal Employment Opportunity Policy and the EEOC's "Know your rights: workplace discrimination is illegal" (PDF).
It's important to us to create an accessible, inclusive workplace for everyone. If you have a need that requires accommodation, please let us know by completing our accommodations for applicants form. Our candidate accommodations team will then connect with you to confidentially discuss your options.