DataBank: Company Overview

Background & Mission

DataBank is a leading provider of enterprise-class data center solutions in the United States. Founded with a focus on customer-centric values and innovative solutions, the company has grown from a single data center in Dallas to operating the largest footprint of data centers across the U.S. DataBank’s mission is to redefine the data center experience by delivering hybrid infrastructure solutions tailored for the AI and Edge era.

Core Products or Services

• Colocation Services: Secure, high-density IT infrastructure hosting for businesses.
• Interconnection Services: Seamless cloud integration and hybrid IT strategies through a dense network ecosystem.
• Managed Services: Comprehensive IT management, including security and compliance support.
• Universal Data Hall Design (UDHD): Award-winning, flexible data center design enabling rapid deployment of high-density workloads.
• Edge Infrastructure: Over 65 HPC-ready data centers across 25+ markets, providing low-latency access to 60% of the U.S. population.

Size & Market Position

DataBank is a major player in the rapidly growing data center market. While specific revenue figures are unavailable, the company has expanded significantly through strategic acquisitions and partnerships. Its innovative solutions, such as the UDHD, position it as a leader in the industry.

Organizational Culture & Workforce

With a workforce expected to exceed 900 employees, DataBank emphasizes a strong organizational culture built around its "Purpose, Way, and Impact" framework. The company uses tools like CultureTalk to foster collaboration and align employee behavior with its goals. Notable programs include quarterly employee Net Promoter Score (eNPS) surveys and the DataBank Vault, a platform for peer recognition and company-wide communication.

Career Paths & In-Demand Skills

• Common Roles: Data Analyst, Data Engineer, Business Intelligence Analyst, and System Engineer.
• In-Demand Skills: Data analysis, cloud computing, machine learning, and proficiency in tools like SQL, Python, and Tableau.
• Growth Opportunities: Career advancement into senior roles, specialization in AI or data engineering, and cross-functional roles in marketing or financial analytics.