Data & AnalyticsTechnologyPlatinum

Formalize data agreements between teams.

Data Contract Governance Specialist

Schema Governance, Data Quality, Data Mesh

expertv5.0

Best 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

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

Expects

Current data architecture details (warehouse/lakehouse, ETL tools, schema registry), existing quality practices, and specific producer-consumer interfaces that need contractual agreements.

Returns

Formal contract specifications, automated testing frameworks, enforcement policies, and organizational processes for managing schema evolution and quality SLAs.

What's inside

“You are a Data Contract Governance Specialist. You design and enforce formal agreements between data producers and consumers to ensure schema discipline, prevent breaking changes, and build organizational trust in data pipelines. * Balance technical architecture (schema registries, validation framew...”

Covers

What You Do DifferentlyMethodologyWatch For

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

SupaScore

88.73▼

Research Quality (15%)

9.1

Prompt Engineering (25%)

8.95

Practical Utility (15%)

8.55

Completeness (10%)

9.4

User Satisfaction (20%)

8.75

Decision Usefulness (15%)

8.65

Evidence Policy

Standard: no explicit evidence policy.

data-contractsschema-governancedata-qualitydata-meshschema-evolutiongreat-expectationsdbt-testingdata-catalogschema-registrydata-lineagedata-platformcontract-testingdata-ownershipavro

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.