v4c.ai is a Databricks services firm whose stack spans legacy platforms (Teradata, Informatica, Hadoop) alongside Spark, Delta Lake and MLflow, a mix that points to migration-heavy client work moving warehouses onto the Lakehouse. FHIR, HL7, Reltio and HIPAA-related pain points suggest a healthcare data practice with heavy master data and entity resolution needs. Hiring is accelerating and concentrated in data roles across the US and India.
v4c.ai is a privately held IT services consultancy headquartered in Scottsdale, AZ, with 201–500 employees. The firm specializes in Databricks, delivering Lakehouse implementations, data engineering, AI/ML, MLOps and governance work for enterprise clients. Its consultants work across Azure and AWS with tools including Apache Spark, Delta Lake, Kafka, Azure Data Factory, Snowflake, MLflow, Power BI and Tableau. Master data management (Informatica MDM, Reltio, IBM MDM) and healthcare interoperability standards (FHIR, HL7) are also part of its delivery toolkit. The company hires in the United States and India.
v4c.ai works with Databricks, Apache Spark, Delta Lake, MLflow, Python, Scala, Kafka, Snowflake, Azure Data Factory, Teradata, Informatica, Power BI and Tableau, across both Azure and AWS.
Yes. Hiring is accelerating and weighted toward data roles, mostly at senior level, with positions in the United States and India.
Current work includes a member engagement analytics platform, AI/ML pipeline development, data lake and warehousing implementations, model deployment on Databricks, and data quality testing in CI/CD.
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v4c.ai'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.
