Databricks Solutions Architect Genie Agent: Governed AI Design Reviews
Databricks Solutions Architect Genie Agent turns a new design requirement or a business change request into a governed, evidence-backed architecture design. The Genie Agent reasons over the organizationโs governed platform context, while a controlled MCP knowledge pipeline retrieves official Databricks documentation only from docs.databricks.com, stages it as CANDIDATE, and requires human review before it can support an affirmative recommendation.
Users describe an outcome such as onboarding an acquisition, modernizing analytics, or adding AI search. The system returns architecture options with trade-offs, a recommended path, migration and rollback considerations, and an Evidence Register that makes the basis for each recommendation inspectable. Every proposal remains PENDING_APPROVAL; no infrastructure is provisioned or changed by the agent.
Technology and AI
- Databricks Genie Agent: natural-language architecture reasoning over the governed platform context.
- Unity Catalog: the control plane for governed assets, lineage, classification, policies, ownership, and access boundaries.
- Semantic contracts: approved data products, columns, joins, metrics, and pipeline operating expectations that make the agentโs analysis business aware.
- Knowledge MCP pipeline: a bounded Model Context Protocol service that scrapes only allowlisted official docs.databricks.com documentation and release guidance. It records canonical URLs, retrieval timestamps, and content hashes as CANDIDATE; only human-reviewed knowledge can support affirmative architecture claims.
- Vector Search: the hybrid Delta Sync index retrieves reviewed architecture knowledge when semantic retrieval is needed.
- Databricks Apps: the review workspace presents formatted responses, governed SVG diagrams, explainability, evidence, PDF packages, and human option-level decisions.
- Workflows and Volume artifacts: controlled jobs persist review records and generate Mermaid, SVG, PNG, HTML, and PDF artifacts in a Unity Catalog Volume.
How Review Works
The Genie agent analyzes governed evidence first. A controlled workflow creates three materially different architecture options and stores their artifacts with the proposal. Reviewers load a pending proposal, inspect the response, diagrams, evidence trail, and rationale, then approve one option or reject options with a recorded reason. Approving one option archives the others; rejecting all options archives the proposal. These decisions record review state only and never execute the design.
The result is an AI-assisted architecture practice that is useful for real planning while remaining transparent, evidence-driven, and under human control.
