Data, cloud, AI and enterprise-application consulting for large organizations
Paradigm Technology is a Scottsdale-based consultancy delivering data management, cloud and AI work, with a stack spanning Informatica MDM and Axon, SAP S/4HANA, Oracle HCM Cloud, ServiceNow and Azure OpenAI. Current job posts cluster around records governance, retention and RoPA privacy documentation, and the legal-heavy hiring mix points to a growing compliance and information-governance practice alongside core data engineering.
Paradigm Technology is a privately held consulting firm founded in 1994 and headquartered in Scottsdale, Arizona, with 201–500 employees. It works with large enterprises and high-growth organizations on strategy and delivery across data, cloud and AI. Its practice areas include master data management, data governance, data lakes, self-service analytics, hybrid integration, intelligent automation and program management. Delivery work touches enterprise platforms such as SAP, Oracle, Informatica, ServiceNow, Maximo and Primavera P6 across AWS, Azure and GCP. Hiring is currently focused in the United States.
Paradigm works across Informatica (MDM, PowerCenter, Cloud Data Integration, Axon), SAP S/4HANA and ECC, Oracle HCM Cloud, ServiceNow, Palantir, Python, Java, Kafka, and AWS, Azure and GCP including Azure OpenAI.
Job posts point to enterprise records governance and retention programs, RoPA privacy documentation, records management automation, a Firco Continuity implementation, and upgrade and patch management.
Paradigm Technology is headquartered in Scottsdale, Arizona, United States. It was founded in 1994 and employs 201–500 people.
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Paradigm Technology'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.