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staff-data-architect

Plan data platform architecture with schema governance and access control.

1|Updated Apr 27, 2026
Search Tags:#rbac#data architecture#schema evolution#schema governance#medallion#snowflake#lineage
One-click install
npx skills add https://github.com/WayneBanksy/wayneys_claude --skill staff-data-architect
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: staff-data-architect
Source: https://github.com/WayneBanksy/wayneys_claude/tree/main/skills/staff-data-architect
Command: npx skills add https://github.com/WayneBanksy/wayneys_claude --skill staff-data-architect

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill guides the design and governance of complex data architectures within financial organizations, ensuring compliance and reliability.

Core Features & Use Cases

  • Architecture Guidance: Offers best practices for medallion layering, schema governance, and data modeling strategies.
  • Policy Enforcement: Establishes schema evolution protocols, RBAC patterns, and data ownership standards.
  • Use Case: Use this Skill when designing a Snowflake data lake with clear layering, access controls, and lineage tracking for regulatory audits.

Quick Start

Describe the medallion architecture setup for a new data domain within a Snowflake-based data platform.

Frequently Asked Questions about staff-data-architect

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a medallion architecture for a Snowflake data platform?▼

To design a medallion architecture in Snowflake, structure data into distinct layers that progressively refine quality, enabling clear lineage tracking and schema governance for regulated financial pipelines.

What is schema evolution governance in financial data architecture?▼

Schema evolution governance in financial data architecture establishes protocols for managing schema changes, ensuring end-to-end lineage and compliance while preventing downstream pipeline disruptions.

How do I implement RBAC patterns for a Snowflake data lake?▼

Implementing RBAC patterns in Snowflake requires defining role-based access controls and data ownership standards to secure regulated financial data and ensure audit-ready access management.

Does this data architecture approach support regulatory audit requirements?▼

Yes, this data architecture approach supports regulatory audits by integrating end-to-end lineage tracking, schema governance, and RBAC patterns specifically tailored for financial regulated environments.

What's the best way to establish data ownership standards in a financial data platform?▼

The best way to establish data ownership standards is through comprehensive platform architecture planning that enforces schema governance, role-based access patterns, and clear medallion layer design.

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