Data Engineering Manager

Boingo•Frisco, TX

49d•Hybrid

About The Position

We are seeking an experienced and visionary Data Engineering Manager to lead the strategy, innovation, and evolution of our enterprise data platform, with a strong focus on Generative AI (GenAI) capabilities within Google Cloud Platform (GCP). You will manage a high-performing data engineering team, guiding them in building scalable, high-performance data solutions, enabling analytics through Looker, and delivering production-grade systems that power data-driven decision-making and AI-enabled applications across the organization. Meet Boingo - named among the Best Places to Work! Boingo Wireless simplifies complex wireless challenges to connect people, business and things. Our vast footprint of Wi-Fi and cellular networks reaches more than a billion consumers annually. From airports and stadiums to military bases, Boingo helps folks stay connected to the people and things they love. Our team is creative, collaborative, and on the leading edge of technology. There is no doubt the "secret sauce" to Boingo's success is our incredible team and culture. We take pride in having fun and building awesome products. Boingo's new headquarters is at The Star - home of the Dallas Cowboys. The Star District offers 35 shops, restaurants, and specialty services. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, disability or veteran status. #LI-Hybrid

Requirements

8+ years of experience in data engineering, with at least 3+ years in a management or team leadership role.
Proven expertise in Google Cloud Platform (GCP): BigQuery, Vertex AI, Dataflow, Cloud Functions, and Cloud Storage.
Strong programming skills in Go and Python, with experience building scalable backend and data systems.
Deep understanding of ETL/ELT architecture, data movement strategies, and large-scale data platform design.
Experience with Generative AI tools and frameworks (Vertex AI, Gemini).
Strong SQL skills and data modeling expertise for enterprise-scale data platforms.
Experience with Looker (LookML modeling, dashboard design, governance).
Excellent leadership, communication, and stakeholder management skills.

Nice To Haves

Experience with containerized deployment (Docker, Kubernetes) and orchestration tools (Cloud Composer, Airflow).
Proven ability to operate in agile, fast-paced environments while managing multiple priorities.
Experience managing budgets, vendor relationships, and cloud cost optimization.

Responsibilities

Lead and manage the data engineering team, setting priorities, allocating resources, and ensuring successful delivery of strategic initiatives.
Define and execute the company's ETL and ELT strategy, optimizing data movement, transformation, and orchestration for efficiency, scalability, and cost-effectiveness.
Architect and oversee the development of robust data pipelines using BigQuery, Dataflow, Pub/Sub, and other GCP-native services.
Drive the development of foundational infrastructure to support GenAI use cases (Microsoft Copilot/GCP Vertex AI) and emerging AI-driven capabilities.
Partner with product, marketing, customer care, and other cross-functional teams to translate business needs into data- and AI-powered solutions.
Ensure Looker models, dashboards, and governance processes enable self-service analytics across the enterprise.
Champion engineering best practices including CI/CD, automated testing, and high-quality coding standards in Go and Python.
Mentor, coach, and develop team members, building technical depth and leadership skills across the team.
Ensure security, reliability, and performance across all data platforms and services.
Serve as a thought leader and change agent, driving innovation and positioning the organization at the forefront of modern data engineering and AI.