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An enterprise is implementing a federated data governance model on Google Cloud to support decentralized domain teams. A strategic business domain requires specialized data infrastructure components that are not currently available on the central self-service data platform's roadmap.
The domain team wants to build and operate its own custom platform components without delaying its data product deliverables, while the organization's governance board requires consistent security, metadata standards, and policy enforcement across all domains.
Which operating and accountability framework should the organization implement?
Allow the domain team to develop and maintain the custom components while enforcing organizational security and governance guardrails, with the central platform team co-investing or embedding engineers to facilitate future platform reuse.
Reassign data product stewardship and infrastructure maintenance to the central data governance engineering team to manually review and verify all custom pipelines.
Grant the domain team full operational autonomy to define its own independent security, metadata, and access policies without adhering to central platform guardrails.
Require the domain team to pause implementation until the central platform team incorporates the requested features into the core platform roadmap and deploys them.
Allow the domain team to develop and maintain the custom components while enforcing organizational security and governance guardrails, with the central platform team co-investing or embedding engineers to facilitate future platform reuse.
In a data mesh and federated governance architecture, the central self-service data platform team provides standardized infrastructure components, but domain teams retain the autonomy to build custom solutions when central offerings do not meet specialized domain requirements. Decentralized management is balanced by enterprise guardrails and collaborative engineering.
This approach strikes the proper balance between central standardization and domain autonomy. Rather than enforcing rigid centralization or allowing ungoverned fragmentation, it establishes a clear shared responsibility model that preserves organizational compliance while enabling rapid domain execution.
Reassign data product stewardship and infrastructure maintenance to the central data governance engineering team to manually review and verify all custom pipelines.
Grant the domain team full operational autonomy to define its own independent security, metadata, and access policies without adhering to central platform guardrails.
Require the domain team to pause implementation until the central platform team incorporates the requested features into the core platform roadmap and deploys them.
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