Teams at Databricks

Own and scale Databricks Marketplace operations, including partner onboarding, transaction approvals, catalog integrity, marketplace health, deal desk support, and retention initiatives. Build automations, AI-assisted workflows, and operational tools using Python and related technologies. Coordinate with Product, Engineering, Sales, Marketing, and Field teams to improve marketplace performance, reduce friction, and support go-to-market growth. This individual contributor role may eventually build and lead a team.

Build and optimize distributed data-ingestion infrastructure for high-volume, petabyte-scale structured and unstructured data. Develop streaming, incremental processing, replication, CDC, observability, and Delta Lake capabilities while improving throughput, latency, reliability, and cost. Collaborate on RAG and AI-agent use cases, apply machine learning to streaming workloads, and build agentic SDKs with effective evaluations. The role requires production software development and architecture experience with large-scale asynchronous and distributed systems.

Drive enterprise sales of Databricks’ Data Intelligence Platform to Fortune 500 and telecommunications accounts. Build executive relationships, expand usage across business units, manage strategic opportunities, exceed pipeline and revenue targets, forecast in Salesforce, and lead value-based solution selling. The role requires expertise in big data, cloud, SaaS, AI, and consumption-based sales motions, along with the ability to translate technical capabilities into business value.