San Antonio Water System operates critical infrastructure for over 2 million consumers, running SCADA/DCS networks alongside modern geospatial and enterprise platforms (ArcGIS, Salesforce, Power Platform, Oracle). The tech stack reveals a hybrid operational backbone—industrial control systems paired with cloud-based productivity tools—while hiring focuses heavily on operations (50% of roles) and hands-on engineering, suggesting active infrastructure modernization. Concurrent projects in network capacity planning, GIS integration, and CMMS upgrades point to systematic digital maturation across operations and data management.
San Antonio Water System is a government agency providing water and wastewater services across the San Antonio region. The organization serves over 2 million customers and operates several national-scale infrastructure assets, including the country's largest direct recycled water system, the nation's largest aquifer storage and recovery facility, and methane-to-energy conversion infrastructure. SAWS operates a distributed team of 1,001–5,000 employees across operations, engineering, construction, and corporate functions, with active hiring concentrated in operations and field engineering roles.
SAWS runs SCADA and DCS for operations control, ArcGIS (Server, Online) for geospatial management, Salesforce with Apex and Lightning for CRM, Power Platform (Apps, Automate) for automation, Oracle and Infor Lawson for enterprise resource planning, plus mobile apps on iOS/Android.
San Antonio, Texas. The organization was founded in 1992 and currently employs between 1,001 and 5,000 people across water and wastewater service delivery across the San Antonio region.
San Antonio Water System's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.