Data and AI consultancy for cloud modernization and analytics transformation
Infinitive is a data and AI consultancy positioned around cloud data platforms—Databricks, Redshift, AWS EMR—and machine learning adoption for enterprise clients. The tech stack reveals heavy AWS infrastructure (EKS, Lambda, SQS, Step Functions, KMS) paired with financial-services domain expertise (ISO 20022, ISO 8583, OAuth 2.0, mTLS), suggesting deep work in payments and settlement systems. Active hiring is accelerating across data (10 roles) and engineering (7 roles) with senior and mid-level focus, while projects span metrics governance, transaction processing, and energy efficiency optimization—a mix indicating both analytics transformation work and operational resilience consulting.
Notable leadership hires: Assistant Chief Engineer, Project Lead, Account Lead
Infinitive enables enterprise clients to modernize their data infrastructure, operationalize analytics, and build machine learning capabilities. Founded in 2003 and based in Ashburn, Virginia, the firm operates as a private consultancy of 51–200 employees with recognized workplace culture. Their service lines cover data and AI transformations, cloud platform migrations (especially Databricks Lakehouse), advanced analytics, change management, and cloud governance. Client engagements span financial services (payments, transaction processing, card management) and industrial/energy sectors (capacity planning, preventive maintenance, energy efficiency). The business is technology-agnostic but deeply invested in Databricks and AWS ecosystems.
Primary: AWS (EKS, Lambda, SQS, Step Functions, KMS, EMR, Glue, Redshift), Databricks, Java, Go, Node.js, React, Angular, DynamoDB, Aurora. Adopting Unity Catalog. Also fluent in Azure, financial protocols (ISO 20022/8583), and infrastructure tools (Terraform, Jenkins).
Core projects include business metrics definition and governance, transaction processing and payments systems, energy efficiency improvements, capacity planning and infrastructure upgrades, and reducing operational downtime and cooling costs for enterprise clients.
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