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As a Sr. Staff Software Engineer in Observability, you will develop advanced observability solutions, manage infrastructure, and mentor engineers to enhance technical excellence within the team.

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.

The Strategic Account Executive will manage an enterprise client in the Public Sector, drive growth, build executive relationships, and exceed sales targets using solution-based selling.

The Sr. Solutions Architect will lead customer engagements for Databricks, design data architectures, implement solutions, and promote open-source projects.

Lead the Engineering Team for Vector Search, developing a cloud-native service, managing team growth, and defining product roadmaps.

Design and automate networking for large-scale compute clusters, ensuring robust and scalable connectivity across cloud resources for data and AI workloads.

As a Senior Product Manager for Databricks Repos, you will define and drive the vision for the developer experience related to version control and workflow integration for data and AI applications.

Lead customer-facing data engineering and warehousing initiatives on the Databricks platform. Architect and optimize production-scale ETL/ELT pipelines, performance-test workloads, migrate legacy systems to cloud lakehouse architectures, support Solution Architects in technical sales, and provide training, demos, and community contributions.

Develop post-training recipes and systems for enterprise data agents capable of autonomous planning, code generation, and multi-step workflows. Partner with product teams to turn prototypes into production features for Databricks' Genie, and build context-discovery systems that use lakehouse data, notebooks, and code. Provide design, execution, debugging, and mentorship to raise team technical standards.

Lead the AI strategy and roadmap for a scaled customer enablement agent suite: define data inputs, retrieval, agent behaviors, and evaluation loops; drive field rollout and adoption; structure knowledge for retrieval; define signals and analytics for account health; partner with engineering to embed enablement insights into field tools.