Data integration and ML ops platform for cloud warehouse migrations
Infometry delivers data infrastructure services built on Snowflake, Informatica, and increasingly Google Cloud. The company is actively migrating off IBM DataStage while doubling down on GCP (Vertex AI, Dataflow, Cloud Run, BigQuery) — a clear bet on managed AI/ML and serverless orchestration over legacy ETL. Projects center on cloud-native pipelines, LLM deployment, and model lifecycle management; hiring is senior-weighted and concentrated in data roles, signaling focus on execution complexity rather than expansion.
Infometry is a data services and integration firm founded in 2010, headquartered in Fremont, CA. The company works with enterprises on cloud data warehouse migrations, ETL/ELT pipeline design, data governance, and AI/ML analytics. Core offerings include 22+ connectors for Informatica and Snowflake, no-code acceleration tools (INFOFISCUS metadata discovery, DDL automation, test automation), and a conversational analytics application (INFOFISCUS Conversa) that layers agentic AI on top of Snowflake and enterprise documents. The company operates at 51–200 employees and reports 150+ customers and 350+ completed projects.
Infometry runs on Kubernetes, Docker, Python, Apache Airflow, dbt, Snowflake, BigQuery, Redshift, AWS, Azure, GCP, Looker, Power BI, and Tableau. The company is actively adopting GCP services (Vertex AI, Dataflow, Cloud Run, BigQuery) and migrating away from IBM DataStage.
Active projects include end-to-end ML pipelines on GCP, Vertex AI model deployment, LLMOps practices, migration of legacy IBM DataStage ETL to GCP, cloud-native data pipeline design, ELT workflows, and Airflow orchestration.
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