Analytical Engineering Lead

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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