EY

EY brings a data practice to organizations where data infrastructure is inseparable from compliance, audit, or finance transformation. Financial Services, Public Sector, and Automotive are the primary verticals. Platform work centers on Microsoft Fabric and Azure, with Snowflake and Databricks also in scope; platform migration and data modernization are rated Expert. Its Big Four positioning fits enterprise programs where regulatory context or finance data complexity justifies paying for advisory depth alongside engineering.

EY's data practice centers on Microsoft Fabric and Azure rather than a generic all-cloud claim, which is where this profile places its platform depth. Ask which of the proposed team's projects match your regulatory or finance-data context.

Big Four engagements typically bundle advisory, audit-readiness, and engineering, so ask EY to price technical delivery separately from advisory. Request the staffing mix by seniority and any minimum; the rate and minimum shown are unverified estimates.

Capability scoring flags EY as expert in platform migration, expert in data modernization, strong in ai ml enablement , which helps distinguish it from firms with similar platform coverage.

Weighing EY against other options? See where it sits among the top data engineering companies in our independent 2026 directory - profiled by platform focus and fit.