EY GDS Consulting is seeking an experienced Cloud Data Architect with Databricks expertise to lead strategic data platform transformations. This pivotal role involves migrating enterprise data systems to modern, cloud-native architectures, focusing on scalability, security, and high-performance analytics for EY clients across various sectors. The ideal candidate will design future-state architectures, guide implementation teams, and ensure alignment with EY's data modernization strategy, requiring deep technical acumen and leadership to influence stakeholders.

This leadership position drives the strategic vision for cloud data modernization using Databricks, leading global, cross-functional teams to deliver scalable enterprise transformation solutions. Responsibilities include influencing C-suite client stakeholders by articulating the business value of cloud-native data architectures, monitoring industry trends, and developing differentiated Databricks offerings with EY Go-To-Market teams. The role also involves supporting pre-sales activities, translating client needs into scalable architecture proposals, and representing EY in industry forums while mentoring junior architects.

Candidates must possess a Bachelor's degree in Engineering, Computer Science, or a related field, coupled with 15-20 years of experience in data architecture, solution design, and implementation. A strong track record of at least two end-to-end Databricks and cloud data platform implementations is essential, alongside demonstrated success in leading large-scale data migration projects and managing cross-functional teams. Client-facing experience with a history of delivering high-impact solutions is also a key requirement.