Databricks
Skills Systems Architect
$111K–$191K
United States +1 · Full-time · Posted Oct 7, 2026
- Location
- United States
Bellevue, Washington
About the job
Build and maintain an AI-native skills and capability system that defines, measures, and develops technical capability across Databricks learners, employees, customers, and partners.
What you'll do
- Design skills taxonomies, capability models, and learning context connecting roles, skills, content, and credentials.
- Build instrumentation and AI-informed signals to monitor capability, skill changes, gaps, and emerging demand.
- Develop tooling and pipelines—including skill extraction, taxonomy maintenance, drift and gap detection, and APIs—and make the model reusable across teams and products.
What they ask for
- Experience in technical training, learning, enablement, or product education in data and AI, cloud, or comparable product categories.
- Experience designing capability or skills models and related systems for modeling, measurement, and instrumentation.
- Ability to use Python and SQL, build apps with AI assistance, and create pipelines and tooling.
- AI-native approach to building and reasoning; track record of moving strategy as an individual contributor through analysis and clear writing.
Nice to have
- Familiarity with off-the-shelf skills-intelligence tooling and build-vs-buy tradeoffs.
- Experience instrumenting capability data across several audiences.
Pay
$139,000 — $191,050 USD base salary; $125,000 — $171,950 USD base salary; $118,100 — $162,350 USD base salary; $111,200 — $152,900 USD base salary
Tools
Python, SQL, LLM
AI focus
Build AI-native tooling, including LLM-driven skill extraction and organization, agentic pipelines, automated drift and gap detection, and AI-informed capability measurement.
Model-written summary · the original posting is authoritative