IT staffing and consulting firm specializing in enterprise transformations
Vega Consulting Solutions is a woman-owned IT services firm operating since 1993, with active consulting engagements spanning SAP S/4HANA modernization, cloud data integration, and GenAI automation. The tech stack—SAP, AWS, Databricks, Snowflake, Kafka—reflects enterprise-scale transformation work. Current hiring is heavily weighted toward senior engineers and data roles (10 senior positions across 15 open reqs), signaling demand for complex implementations rather than junior staffing fills.
Vega Consulting Solutions provides IT staffing, consulting, and permanent placement services across contract, contract-to-hire, and direct-hire models. Founded in 1993, the firm serves Fortune 500 companies, federal agencies, and state governments across 28 states. Core service areas include project management, business analysis, cybersecurity, software development, IT strategy, solutions architecture, and infrastructure. The company uses a proprietary recruiting methodology called V*STAR to streamline candidate qualification for clients.
Enterprise platforms including SAP S/4HANA and SAP, cloud services (AWS, Azure Data Lake, GCP, Snowflake), big data tools (Kafka, Redshift, Databricks, Apache Spark, Cloudera), and modern development stacks (Java, Python, JavaScript/TypeScript, Docker, Kubernetes). Recent adoption includes AWS Bedrock and LangChain for GenAI work.
Active engagements include SAP S/4HANA modernization, Microsoft 365 platform upgrades, GenAI and machine learning implementations, supply chain integration, analytics pipelines and visualization, intelligent test automation, and cloud data lake consolidation.
Vega Consulting Solutions, Inc'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.