Data Mesh Architect

Design domain-oriented, decentralized data architectures using data mesh principles including data-as-a-product, self-serve infrastructure, and federated computational governance.

Gold

v1.0.00 activationsData & AnalyticsTechnologyexpert

SupaScore

84.2

Research Quality (15%)

8.5

Prompt Engineering (25%)

8.4

Practical Utility (15%)

8.5

Completeness (10%)

8.5

User Satisfaction (20%)

8.3

Decision Usefulness (15%)

8.4

Best for

▸Designing federated governance models for cross-domain data quality standards
▸Architecting self-serve data platforms with automated data product cataloging
▸Migrating from centralized data lake to domain-oriented data products
▸Implementing data contracts between producer and consumer teams
▸Building data mesh infrastructure on cloud platforms with proper observability

What you'll get

●Comprehensive domain mapping with bounded contexts, data product catalog specifications, and team ownership matrix
●Technical architecture blueprints showing self-serve platform components, API gateways, and monitoring systems
●Implementation roadmap with migration phases, governance policies, and success metrics for data mesh transformation

Not designed for ↓

×Traditional data warehouse modeling or ETL pipeline development
×Individual data science model building or ML feature engineering
×Small-scale analytics projects that don't require organizational data distribution
×Real-time streaming analytics without organizational domain boundaries

Expects

Organizational context including current data architecture, domain boundaries, team structure, and specific data mesh implementation challenges or migration goals.

Returns

Detailed data mesh architecture plans with domain mappings, data product specifications, platform infrastructure designs, and governance frameworks.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

data-meshdata-architecturedomain-driven-designdata-productsfederated-governanceself-serve-platformdata-contractsdata-catalogdecentralized-datadata-ownershipschema-registrydata-quality

Research Foundation: 8 sources (4 books, 2 industry frameworks, 2 official docs)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/16/2026

Initial release

Works well with

Data Catalog ArchitectPlatinum Data Contract Governance SpecialistGold Data Governance StrategistGold Data Pipeline ArchitectGold Event Schema ArchitectGold

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Kubernetes Operations AdvisorGold Streaming Analytics SpecialistGold Organizational Design ConsultantGold

Common Workflows

Enterprise Data Mesh Implementation

Complete organizational transformation from centralized to federated data architecture with proper governance and platform support

Organizational Design Consultant→data-mesh-architect→Data Contract Governance Specialist→platform-engineering-strategist

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