Data Mesh on Cloud AI Prompt

Design a data mesh architecture on this cloud platform.

Organization size: {{org_size}}
Domains identified: {{domains}} (finance, product, marketing, operations, etc.)
Cloud provider: {{provider}}
Current state: {{current_state}} (centralized data warehouse, fragmented silos, etc.)

1. Data mesh principles:
   - Domain ownership: each business domain owns and publishes its own data products
   - Data as a product: data is treated with product-quality standards (SLA, documentation, quality)
   - Self-serve data platform: a platform team provides the infrastructure; domain teams use it
   - Federated computational governance: global policies enforced automatically; local flexibility

2. Domain data product structure:
   Each domain publishes:
   - Input data: raw data from its systems
   - Transformed data: cleansed, enriched, domain-specific tables
   - Output data products: interfaces for other domains (S3 path, Snowflake share, BigQuery authorized dataset)
   - SLA: freshness, availability, schema stability guarantees
   - Documentation: data catalog entry with owner, description, quality metrics

3. Technical implementation on AWS:
   - Account per domain: separate AWS accounts for finance, product, marketing data
   - Cross-domain access: AWS Lake Formation data sharing; S3 bucket policies for cross-account access
   - Central catalog: AWS Glue Data Catalog federated with domain-level catalogs
   - Self-serve platform: reusable Terraform modules for each domain to provision standard infrastructure

4. Governance layer:
   - Global policies (applied everywhere): PII tagging, retention rules, access logging
   - Domain policies (domain-specific): schema standards, SLA definitions, quality thresholds
   - Policy engine: AWS SCP (service control policies), OPA (Open Policy Agent), Apache Ranger

5. Data product contract:
   interface_type: s3_parquet
   location: s3://finance-data-products/revenue/v1/
   schema: {order_id: bigint, amount_usd: numeric, date: date}
   sla_freshness: 4 hours
   owner: finance-analytics@company.com
   version: 1.2.0

Return: domain architecture, AWS/GCP/Azure implementation approach, governance layer design, and data product contract schema.