Teams at Databricks

Serve as trusted technical advisor for strategic accounts, design and build Databricks-based Lakehouse and GenAI/ML architectures, deliver proofs of concept, collaborate with sales/product/engineering, and support global account implementations and integrations across cloud environments.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture, design, coding, deployment, and technical delivery for scalable end-to-end systems involving data pipelines, machine learning models, and applications. Advise enterprise stakeholders, guide adoption, integrate customer systems, resolve technical issues, and contribute reusable frameworks and product feedback. The role requires strong software and data engineering expertise, customer empathy, project delivery skills, and approximately 20% travel.

Build and productionize customer-facing data and AI solutions on Databricks. Own architecture, design, implementation, deployment, and technical delivery of scalable systems spanning data engineering, machine learning, AI models, pipelines, and applications. Guide enterprise customers, collaborate with engineering and product teams, resolve implementation issues, document solutions, and create reusable accelerators. The role requires customer immersion, stakeholder management, technical project delivery, and approximately 20% travel.