SqlDBM sells a cloud data modeling tool wired into Snowflake, Databricks, BigQuery and Redshift, built on C#/.NET, React and TypeScript over AWS. Job posts point to an agentic pivot: MCP server development, Amazon Bedrock and evaluation infrastructure for AI agents, alongside a migration from ASP.NET to .NET Core. Hiring is accelerating and skews to senior engineers across the US, Portugal, Argentina and Brazil.
Notable leadership hires: Engineering Lead
SqlDBM, founded in 2017 and headquartered in San Diego, California, provides a browser-based platform for designing and documenting database and data warehouse models. The product connects directly to major cloud warehouses including Snowflake, Databricks, Google BigQuery, Microsoft Fabric and AWS Redshift. It targets enterprise data teams that collaborate on schema design and ERDs. The privately held company has 51–200 employees and recruits across the United States, Portugal, Argentina and Brazil.
SqlDBM's stack includes C#, .NET, React, TypeScript, PostgreSQL, Redis and AWS, with Amazon Bedrock and MCP for AI features. It is adopting .NET Core and Cursor while moving off ASP.NET.
Current work centers on AI-assisted data modeling workflows, MCP servers and tools for external agents, an agentic product layer, AI agent evaluation infrastructure and scaling the SqlDBM v2 platform.
SqlDBM hires in the United States, Portugal, Argentina and Brazil, mostly senior engineering talent, plus finance and support roles. It is also recruiting an Engineering Lead.
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SqlDBM'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.
