data-architect

Design data architectures and governance models for enterprise-scale environments.

7|1|Updated May 19, 2026
One-click install
npx skills add https://github.com/daemon-blockint-tech/Agentic-Enteprises-Skill --skill data-architect-daemon-blockint-tech
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-architect
Source: https://github.com/daemon-blockint-tech/Agentic-Enteprises-Skill/tree/main/data-architect
Command: npx skills add https://github.com/daemon-blockint-tech/Agentic-Enteprises-Skill --skill data-architect-daemon-blockint-tech

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Design and govern scalable data architectures for complex enterprises. This skill covers data mesh, lakehouse, governance, domain-driven design, conceptual/logical/physical data modeling, platform selection, and compliance frameworks. It also supports producing ADRs, data model diagrams, platform comparison matrices, and governance policy templates.

Core Features & Use Cases

  • Architecture decision framework to guide major platform and tooling choices across domains.
  • Progressive data modeling workflow from conceptual through physical models with ADRs.
  • Platform and technology selection guidance integrated with governance and risk considerations.
  • ADR templates, governance policies, and documentation artifacts for stakeholder alignment.

Quick Start

Provide an enterprise data architecture brief and ADR templates for a multi-domain program.

Frequently Asked Questions about data-architect

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

FAQPage Schema
How do I design a data mesh architecture for a multi-domain enterprise program?

Design a data mesh architecture by applying domain-driven design principles to distribute data ownership across domains. This skill generates architecture diagrams and governance policy templates to align stakeholders on decentralized data ownership at enterprise scale.

What is the best way to document architecture decisions for a lakehouse platform selection?

The best way to document lakehouse platform selection is by generating Architecture Decision Records (ADRs). This skill provides ADR templates and platform comparison matrices that integrate governance and risk considerations to justify major tooling choices.

How do I create conceptual, logical, and physical data models with governance policies?

Create progressive data models by moving through conceptual, logical, and physical modeling workflows. This skill generates data modeling artifacts and governance policy templates to ensure enterprise data structures comply with required frameworks.

Can I use this to generate platform comparison matrices for enterprise data architecture?

Yes, you can generate platform comparison matrices for enterprise data architecture. This skill delivers comparison matrices and architecture decision frameworks that evaluate platforms against governance, risk, and compliance requirements.

When do I need to generate ADRs and governance policy templates for data systems?

Generate ADRs and governance policy templates when making major platform and tooling choices across complex domains. This skill produces documentation artifacts needed for stakeholder alignment during enterprise-scale data architecture transformations.