Enterprise AI is exposing a problem that many organizations have postponed for years: legacy data infrastructure. As companies move beyond experimentation, fragmented ETL pipelines, aging data warehouses and disconnected analytics environments are becoming obstacles to deploying AI at scale.
That challenge is reflected in Deloitte’s 2026 State of AI in the Enterprise, which found that legacy data and infrastructure architectures are increasingly limiting organizations’ ability to support real time and autonomous AI. The research argues that modern data platforms have become a prerequisite for enterprise AI rather than a separate technology initiative.
For U.S. enterprises, Databricks projects now extend well beyond analytics. Modernization often includes ETL migration, governance, Medallion Architecture, cloud engineering and AI ready data platforms, making consulting expertise an important part of the transformation process.
Best Databricks consulting partners in the US
Organizations evaluating Best Databricks consulting partners in the US should prioritize migration experience, data engineering capabilities, governance expertise and the ability to modernize legacy workloads without disrupting business operations.
Ness Digital Engineering is a Databricks Select Partner that helps enterprises modernize data estates through architecture, migration and engineering services. The company supports migrations from legacy technologies including Informatica, DataStage, Oracle, SQL Server and Teradata into Databricks PySpark and SQL, while also implementing Medallion Architecture and production ready data environments.
Ness has also documented enterprise Databricks migrations involving more than 7,000 data management jobs, including the conversion of approximately 1,000 Informatica IDMC workloads into Databricks PySpark, together with Unity Catalog implementation and data validation. This experience positions the company as a strong consulting partner for organizations building modern data and AI foundations.
