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Cloud Data Architect / Architecture & IntegrationGENEDATA / 01

Design the foundations for trusted scale.

Designs cloud topology, identity, networking, encryption, residency, capacity, and operational boundaries for data workloads.

Talk to the teamYour workflow
Shared context · Lineage · Governance
Connected
Your sources
Assess needs and evidence
Design the approach
Protect access and runtime
Connected intelligenceCloud Data Architect
Governance
Business impactScale within policy
Shared contextLineageGovernance
+Illustrative workflow01 / 03
1 / 3
Open your hands-on learning path
Role context

The context behind the work.

You design the deployment boundaries within which data work can operate responsibly. Region, identity, networking, storage, and recovery choices affect both usability and control. These decisions need agreement from the teams that own the resulting service.

In practice / 01

A workload has residency constraints

Identify which data, artifacts, and operational records are in scope. Map the proposed region and dependency paths, review the controls with security, and document the assumptions that implementation must verify.

In practice / 02

A platform needs a recovery topology

Agree the relevant recovery requirements and dependencies. Review the storage and runtime design with operations, then validate a representative recovery scenario before treating the architecture as complete.

Your workflow

A practical path from task to outcome.

Review the cloud topology for a governed data workload.

  1. 01

    Assess needs and evidence

    Identify residency, access, recovery, and workload requirements with the business and security teams.

  2. 02

    Design the approach

    Map regions, network boundaries, storage, runtime dependencies, and identity controls.

  3. 03

    Protect access and runtime

    Review capacity and recovery scenarios with operations and document the relevant trade-offs.

  4. 04

    Scale within policy

    Publish the approved architecture and the responsibilities for configuration, monitoring, and change review.

What you take forward

An approved cloud topology with operational and security responsibilities.

Work more effectively

Less repeated effort. More useful work.

Explore the habits and platform connections that can make this role easier, more consistent, and easier to collaborate with.

A common friction

Cloud decisions revisited for every team

Reuse an approved topology and documented constraints.

A common friction

Security review arriving after deployment

Include identity and network boundaries in the architecture review.

A common friction

Capacity assumptions without workload context

Connect the capacity plan to observed demand and recovery requirements.

Measure your own improvement

Choose a baseline before you begin. Review these signals with your team; results depend on your data, process, and implementation.

  • Time to review a proposed workload topology
  • Architecture exceptions requiring later rework
Get started

Build confidence with a first task.

Review the cloud topology for a governed data workload.

Use AI with judgment

Use AI to compare architecture options; have cloud and security owners verify the deployment assumptions.

Your practice checklist

0 / 4 complete

Progress is saved on this device.

Your toolkit

The right surfaces. The right people.

Continue into the product, deepen your knowledge, or follow the next role in the handoff.

Go deeper

Technical workbookDocumentation

Technical workbooks are maintained in English. Workspace access and available capabilities depend on your deployment and permissions.

Cloud Data Architect

Bring your own workflow.

Explore how these practices could fit your team, your data, and your operating requirements.

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