Enterprise systems integration and data governance consulting
FormativGroup is a 51–200-person systems integration consultancy headquartered in White Plains, NY, focused on connecting fragmented enterprise applications and data layers. The stack reveals a deep Salesforce practice (Sales Cloud, Service Cloud, Community Cloud, Lightning) layered with Adobe Experience Manager, enterprise data platforms (Snowflake, Collibra, Power BI/Tableau/Looker), and cloud infrastructure (AWS, Azure, GCP). Active hiring is overwhelmingly senior-weighted (22 of 25 open roles) and engineering-forward (15 engineering, 5 data roles), signaling either high-touch client work or a shift toward technical leadership scaling.
FormativGroup helps mid-market and enterprise clients integrate siloed systems, modernize applications, and build data governance frameworks. They work across Salesforce implementations (including government cloud), enterprise data platforms (Snowflake, Collibra), and cloud infrastructure migration. The business model combines consulting design services with execution work in system integration, workflow automation, and data ecosystem design. Active projects span Salesforce reporting, data governance policy definition, government sector cloud initiatives, and Collibra integrations. The firm operates across the United States and India.
Salesforce (Sales Cloud, Service Cloud, Community Cloud, Lightning), Adobe Experience Manager, Java, Snowflake, Collibra, Power BI, Tableau, Looker, AWS, Azure, GCP, Docker, Kubernetes, Jenkins, Jira, React, Angular, Vue.
United States and India. Recruiting accelerating; 19 of 25 active roles posted within the last 30 days.
FormativGroup'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.