Skills Systems Architect
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own systems for defining, measuring and developing technical capability across employees, customers and partners. You will define skills taxonomies, build observability for capability, and build AI-native tooling such as LLM-driven skill extraction and agentic pipelines.
Requirements
- Experience in technical training, learning, enablement or product education in data & AI or cloud
- Experience designing capability or skills models and systems
- Ability to use Python and SQL and build apps with AI assistance
- AI-native building approach
- Track record of moving strategy as an IC through analysis and clear writing
Responsibilities
- Define skills taxonomies and capability models
- Stand up instrumentation and AI-informed signals showing capability status and drift
- Anticipate future capability demand
- Build software maintaining the taxonomy including LLM-driven skill extraction and agentic pipelines
- Build automated drift and gap detection and APIs
- Make the model reusable enterprise context
Benefits
- Annual performance bonus eligibility
- Equity eligibility