Data and AI consultancy specializing in cloud modernization and Databricks implementations
Infinitive is a data and AI consultancy advising mid-market and enterprise clients on cloud data platform migrations and ML operationalization. The stack reveals deep Databricks and AWS expertise (Spark, EMR, Glue, Lambda), with active adoption of Unity Catalog signaling a shift toward governed, multi-tenant data architectures. Pain points cluster around cost accountability and pipeline operationalization—not feature gaps—which points to a client base struggling with cloud financial management and legacy batch-to-streaming transitions.
Notable leadership hires: Account Lead
Founded in 2003 and headquartered in Ashburn, Virginia, Infinitive advises global enterprises on data modernization, cloud transformation, and AI operationalization. The firm works across change management, cloud governance, and advanced analytics, with deep expertise in Databricks, AWS, and Azure ecosystems. Active projects span CI/CD pipeline implementation, data modeling, self-service platform design, and cost optimization—typical of engagements supporting clients migrating from on-premise or legacy data warehouses to cloud-native lakehouse architectures. The company operates at 51–200 employees, with a senior-heavy hiring mix reflecting delivery and advisory roles.
Databricks, AWS (EMR, Lambda, Glue, Redshift), Azure, Snowflake, Spark, Python, and governance frameworks (ISO 27001, SOC 2, FedRAMP). Unity Catalog adoption indicates focus on governed data mesh and lakehouse implementations.
Cloud cost accountability, modernizing legacy data pipelines, operationalizing batch workflows, and establishing risk/GRC programs. Projects focus on scalable, cost-efficient data platform design and financial governance.
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Infinitive'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.