At a glance
- Location
- United States · Bellevue
About Databricks
- Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
About the role
- The Skills Systems Architect will own the systems for defining, measuring, and developing technical capability across Databricks learner audiences.
- This builder role involves creating a capability model that integrates roles, skills, content, and credentials, utilizing AI-native tooling to maintain a living model of technical proficiency.
Responsibilities
- Define skills taxonomies that organize technical capability, including prerequisites, adjacencies, and skill decay rates.
- Stand up instrumentation and AI-informed signals to measure capability status and drift.
- Track product releases, market shifts, and role evolution to anticipate capability demand.
- Build software to maintain the skills taxonomy and capability model, including LLM-driven extraction and agentic pipelines.
- Develop automated drift and gap detection systems.
- Create APIs to expose the capability model as reusable enterprise context for other systems and products.
- Inform learning architecture and in-product training presentation.
- Ground skills assessment for certification and accreditation teams.
- Provide the organization with a current view of capability across all audiences.
Requirements
- Experience in technical training, learning, enablement, or product education in data & AI, cloud, or comparable product categories.
- Experience designing capability or skills models and the systems around them, including modeling, measurement, and instrumentation.
- Ability to use Python and SQL.
- Ability to build apps and wire up pipelines with AI assistance.
- Proficiency in AI-native workflows, including extraction, assessment, and agentic evaluation.
- Track record of moving strategy as an individual contributor through analysis and clear writing.
Preferred qualifications
- Familiarity with off-the-shelf skills-intelligence tooling and build-vs-buy tradeoffs.
- Experience instrumenting capability data across several audiences.
Skills
- Python
- SQL
- LLM
- AI
- Data & AI
