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Lead and scale the Execution Sandbox team to design, build, and launch a greenfield serverless provisioning service. Own architecture, reliability, multi-cloud deployment, API contracts, and cross-team alignment while hiring and mentoring engineers and ensuring production-grade observability and SLOs.

Customer-facing senior engineer who architects, builds, and productionizes data and AI solutions on the Databricks platform. Leads end-to-end projects spanning data engineering, distributed Spark systems, MLOps, and user-facing applications, embeds with stakeholders, delivers measurable outcomes, and contributes reusable assets and best practices.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads design, implements data pipelines, ML integration, CI/CD, and reusable assets while embedding with customers to drive measurable outcomes.

As a Senior Data Scientist at Databricks, you'll shape data science strategies, collaborate with stakeholders, mentor junior scientists, and build internal data products.

Customer-facing senior engineer who architects and implements production-grade data and AI solutions on Databricks. Leads design, builds end-to-end data pipelines, integrates ML/AI models, enables adoption, delivers projects, contributes reusable assets, and collaborates with product, engineering, and customer teams. Requires deep Spark and multi-cloud expertise and ~20% travel.

The Staff Software Engineer will innovate in building new products using modern UX/UI technologies, focusing on complex data and workflows. Responsibilities include creating interfaces for GenAI agents, visualizations, and collaborative environments for large-scale data projects.

The Enterprise Account Executive will drive sales growth through strategic relationships with enterprise clients, focusing on big data and AI solutions while meeting revenue targets and leveraging Salesforce for tracking.

Technical lead for the Lakebase Manager control plane: design, build, and operate lifecycle services (create/delete, wake/suspend, HA failover). Drive architecture, reliability (SLIs/SLOs), mentor engineers, write production code, lead cross-team initiatives, and ensure high standards for a distributed, reliability-critical database service.

The Lead GTM Enablement & Scale Architect will develop and implement enablement strategies for Lakebase, ensuring field readiness and competitive positioning while leveraging AI for scalable solutions.

Partner with sales to design and present scalable Databricks Lakehouse architectures. Consult on big data pipelines, data engineering, and ML projects, validate integrations, build demos and reference architectures, and act as a trusted technical advisor to grow platform adoption and deliver production solutions.