Staff Software Engineer – Customer Experience Intelligence (CXI)

P-1652 At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact. Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started. As the Staff Technical Lead (TL) for Customer Experience Intelligence, you will architect and deliver Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization. The Impact You Will Have: Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework. Scale across multiple domains: Build a vertic [... source excerpt omitted ...] jects similar to those described, including automation tooling, distributed systems, and API’s Extensive full stack development experience Proven success designing and deploying production-grade automation in complex technical environments Hands-on experience with ML-assisted systems, decision support, or agentic automation Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s)