Teams at Databricks

Drive adoption of Databricks Genie across a regional territory through technical strategy, executive engagement, workshops, presentations, demos, and customer-facing collateral. Partner with Account Executives, GTM, Product, Engineering, GSIs, and consulting firms. Architect governed analytics solutions spanning semantic models, warehouses, metric layers, Lakehouse, and AI ecosystems; address governance and security concerns; resolve complex technical escalations; and provide roadmap feedback.

Build trusted client relationships and demonstrate Databricks solutions through hands-on evaluations, Spark programming, proofs of concept, workshops, and technical presentations. Advise customers on big data analytics, solution architecture, data engineering, cloud integrations, and business value. Author reference architectures, how-to guides, and demo applications while developing toward independent Solutions Architect responsibilities.

Leads commercial delivery across complex enterprise data and AI/ML engagements, managing risks, scope, governance, reporting, customer outcomes, and cross-functional teams. Acts as a trusted advisor to senior stakeholders, supports account expansion, oversees statements of work and change control, protects margins, improves delivery practices, and mentors junior team members. The role requires strong cloud and modern data platform knowledge, executive communication, and experience managing Agile, Scrum, or hybrid delivery frameworks.