Sr Lead Network Engineer - Denver, CO

About Forged Fiber  

At Forged Fiber, our mission is bold but simple: deliver fast, reliable, future-proof connectivity that builds the foundation for everything online. As we execute, we believe the right way to do something is the only way. This foundation guides how the company builds, operates, and maintains a state-of-the-art open-access fiber network platform that empowers millions. 

Forged Fiber is about more than building a network. It is about people. Every role matters. Every contribution counts. Together, employees create impact through teamwork, trust, and a shared commitment to excellence. 

The Role  

The Senior Lead Engineer – Network Modeling & Data Engineering is a highly technical leadership role responsible for designing, developing, and governing advanced network models and data engineering solutions that support architecture, engineering, and technology strategy. This role serves as a senior technical authority across access network architecture, large-scale network data platforms, and analytical modeling, enabling data-driven decision-making for planning, capacity, performance, and investment strategies. 

This position bridges network engineering, data platforms, analytics, and automation to translate complex network behaviors into scalable models and actionable insights. The Senior Lead Engineer collaborates across architecture, engineering, operations, IT, and product teams to define standards, influence technology roadmaps, and ensure network data solutions align with long-term business and technology objectives. 

Work Location: Hybrid in Denver, CO

The Main Responsibilities  

Network Modeling & Architecture 

· Design, develop, and maintain scalable network models that represent access, aggregation, and core network architectures, performance analysis, and future-state design. 

· Lead modeling of OAP Metro, Access Network and PON architectures, including topology, serviceability, and growth scenarios. 

· Define modeling standards, assumptions, and methodologies to ensure consistency, accuracy, and reusability across teams. 

· Evaluate the impact of new technologies, architectures, and design options through quantitative modeling and simulation. 

Data Engineering & Platforms 

· Create and implement data pipelines that ingest, transform, and curate large-scale network, telemetry, and operational datasets. 

· Develop canonical data models that support network modeling, analytics, and reporting use cases. 

· Ensure data quality, lineage, and governance across network data platforms. 

· Partner with analytics and automation teams to operationalize models through dashboards, decision tools, and APIs. 

Technology Strategy & Evaluation 

· Assess emerging networks, data, and modeling technologies and provide recommendations aligned to architectural strategy.