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Lead the Notebook Dataplane team at Databricks, overseeing user code execution service, managing a team, and driving architecture and technical vision.

The role involves designing and implementing advanced database systems and components focusing on optimization, execution, and security, contributing to the full data lifecycle.

Design and implement advanced database and storage systems, focusing on performance optimization and distributed query execution as part of the Database Engine team at Databricks.

As a Senior Full Stack Engineer, you'll develop solutions for data visualization, manage compute clusters, and enhance user experience focusing on customer value with robust product workflows.

The Staff Machine Learning Engineer will develop and deploy advanced AI models and systems, enhance GenAI capabilities, and collaborate with cross-functional teams.

As a Staff Software Engineer focused on backend systems, you will design, implement, and operate micro-services, work with cloud technologies, and support large-scale distributed systems.

Lead design and implementation of an AI-native web platform, owning web framework, design system, CMS, CI/CD, infrastructure and SDLC agents. Define architecture, pioneer agentic workflows, set evaluation guardrails, mentor engineers, and drive cross-team technical alignment and migrations.

Lead customer-facing projects to design, build, and productionize end-to-end data and AI solutions on the Databricks platform. Own architecture, implement data pipelines, ML/AI integrations, and user-facing applications, train and empower customers, contribute reusable assets, and collaborate cross-functionally to ensure scalable, secure deployments and measurable outcomes.

Senior Solutions Architect for Databricks Lakebase driving pre-sales technical strategy, designing transactional-to-lakehouse integrations, delivering demos/workshops, enabling large accounts, influencing product roadmap, and resolving tier-3 technical escalations to ensure adoption and customer success.

Lead customer-facing, production-grade data and AI projects using Databricks: design architectures, build data pipelines, integrate ML/AI models, deliver applications, provide technical guidance, and create reusable assets to scale impact.