IT staffing and consulting focused on Databricks data and cloud engineering
NAM Info Inc is an IT services and talent firm whose job posts center on Databricks lakehouse work (Delta Lake, Unity Catalog, Spark, dbt, Airflow) across AWS, Azure and GCP. Adoption of Azure Data Factory, Event Hubs and Service Bus alongside moves away from Palantir Foundry, Domo and Tableau points to client migrations onto Azure-native data stacks. The senior-heavy engineering and data hiring mix also covers agentic AI and core banking QA engagements.
Notable leadership hires: Azure Lead Developer
NAM Info Inc is a privately held US technology services company founded in 2000, employing 201–500 people. It offers IT services, staffing, digital transformation and consulting to organizations modernizing their technology. Current engagements span data platform engineering, cloud modernization, test automation for banking systems and AI agent development. The company hires across the United States, Canada and India, with roles concentrated in engineering and data.
Its roles use AWS, Azure and GCP with Terraform, Kubernetes and Docker, plus a Databricks data stack: Delta Lake, Delta Live Tables, Spark, Unity Catalog, Airflow, dbt and Great Expectations, alongside C#, Python and TypeScript.
NAM Info Inc hires in the United States, Canada and India, mainly for senior engineering and data roles, including an Azure Lead Developer position.
Active work includes medallion architecture implementations, Databricks ETL/ELT pipelines, data lake integration with Salesforce, core banking test automation frameworks and enterprise agentic AI systems with evaluation harnesses.
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NAM Info Inc'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.