Oracle BI, data integration and cloud modernization consulting and staffing
Vidorra Consulting Group is a Houston-based consultancy rooted in Oracle BI and data warehousing, but its current hiring stack centers on Java/Spring Boot, AWS serverless and containers (EKS, ECS, Lambda), Terraform and Angular. That points to client work shifting from legacy BI toward cloud migration, while early adoption of LangChain, LangGraph, AutoGen and CrewAI signals agentic AI delivery. Hiring skews heavily toward senior engineers across the US and India.
Notable leadership hires: AEM Lead
Vidorra Consulting Group is a privately held software consulting firm founded in 2009 and headquartered in Houston, Texas. It provides consulting, development, support and managed services around Oracle Business Intelligence technologies, including OBIEE, OBIA, Informatica, ODI, Hyperion Essbase and Oracle Database. It also covers robotic process automation, analytics and data integration, Oracle Utilities Analytics, BI strategy assessments and IT staffing. The firm has 51–200 employees and recruits in the United States and India.
Its roles cite Java, Spring Boot, GraphQL, PostgreSQL, Amazon Aurora, DynamoDB, AWS EKS, ECS, Lambda, API Gateway, SQS, SNS, EventBridge, Terraform, CloudFormation, Angular and TypeScript.
Yes. Engineering is the dominant hiring area, followed by data roles, with nearly all openings at senior level and an AEM Lead role, across the United States and India.
Projects include modernizing on-premises platforms to AWS, lakehouse medallion architectures, Azure Databricks solution design, serverless patterns for containerized apps and building industry-standard APIs.
Other companies in the same industry, closest in size
Vidorra Consulting Group'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.