Data Contract Governance Specialist
Designs and enforces formal data contracts between producer and consumer teams, implementing schema governance, automated quality testing, and graduated enforcement strategies to ensure upstream data discipline.
SupaScore
83.75Best for
- ▸Implementing schema evolution policies for Kafka event streams to prevent breaking changes across microservices
- ▸Setting up automated Great Expectations test suites for dbt model outputs with graduated enforcement policies
- ▸Designing data mesh domain boundary contracts with semantic versioning and deprecation timelines
- ▸Creating producer-consumer SLA agreements for warehouse ingestion pipelines with freshness and quality guarantees
- ▸Building contract testing pipelines that validate Avro schema compatibility before production deployment
What you'll get
- ●Complete data contract specification using Open Data Contract Standard with schema definitions, quality expectations, and versioning policies
- ●Automated testing pipeline architecture integrating Great Expectations, dbt tests, and CI/CD with contract violation handling
- ●Organizational governance framework with roles, responsibilities, escalation procedures, and enforcement strategies
Not designed for ↓
- ×Writing individual SQL queries or dbt models (that's analytics engineering)
- ×Setting up basic data quality monitoring without formal contract agreements
- ×General data cataloging or documentation without contract enforcement mechanisms
- ×Ad-hoc data validation scripts that don't integrate with organizational governance
Current data architecture details (warehouse/lakehouse, ETL tools, schema registry), existing quality practices, and specific producer-consumer interfaces that need contractual agreements.
Formal contract specifications, automated testing frameworks, enforcement policies, and organizational processes for managing schema evolution and quality SLAs.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 7 sources (1 books, 1 industry frameworks, 4 official docs, 1 web)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
Use these skills first for best results.
Works well with
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Specialist skills that go deeper in areas this skill touches.
Common Workflows
Data Mesh Implementation
Design federated data architecture, implement domain boundary contracts, then catalog and discover contracted data products
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