Data flow and ownership map
Describe producers, consumers, interfaces and ownership so dependencies are visible before implementation.
Data Architecture
Data Architecture
Define how data moves, is stored and is governed across systems before committing to a platform or major implementation.
Inside the delivery
Make data platform choices explicit before implementation
Trace data producers, storage, consumers and ownership across the existing estate. The flow below shows the main delivery stages and the evidence produced at each step.
- 01
Current-state map
Trace data producers, storage, consumers and ownership across the existing estate.
Output
Data flow and dependency map
- 02
Target options
Compare storage, integration and serving patterns against freshness, security and scale needs.
Output
Architecture options and tradeoff records
- 03
Contracts and ownership
Define boundaries, shared entities, access responsibilities and quality expectations.
Output
Data contracts and ownership model
- 04
Transition sequence
Plan increments with coexistence, migration dependencies and acceptance checkpoints.
Output
Target architecture and transition roadmap
Controls across the workflow
- Decision records
- Data ownership
- Access classification
- Migration dependencies
Decisions that shape the scope
- Is architecture work a platform implementation?
- The primary deliverables are design decisions, contracts and a transition plan. Building pipelines, migrating datasets or configuring a platform is scoped as implementation work once the decisions are agreed.
- What needs to be available before delivery?
- Current diagrams, source and consumer inventories, data volumes, access policies and known platform constraints.
Before you commit
Is this the right engagement?
- What we need from you
- System inventory, data flows, workloads, retention needs, access policies and delivery constraints.
- How you accept the work
- Review the architecture against representative read, write, failure and change scenarios; record unresolved assumptions and implementation dependencies.
- Scope & alternatives
- The primary deliverables are design decisions, contracts and a transition plan. Building pipelines, migrating datasets or configuring a platform is scoped as implementation work once the decisions are agreed.
Capabilities
Engineering scope and deliverables
Select the work that addresses your constraint. Responsibilities and acceptance criteria are agreed before delivery.
Architecture decision records
Compare storage, processing and serving options against consistency, latency, security and cost requirements.
Transition design
Plan incremental migration, coexistence and rollback with an explicit inventory of assumptions that still need validation.
Integrations
Selected for your environment
Tools are chosen around your existing systems, access requirements and operating constraints.
Microsoft Azure
AWS
Databricks
Snowflake
dbt
Power BI and Tableau
Frequently asked questions
Questions to resolve before starting
01Is architecture work a platform implementation?
Is architecture work a platform implementation?
The primary deliverables are design decisions, contracts and a transition plan. Building pipelines, migrating datasets or configuring a platform is scoped as implementation work once the decisions are agreed.
02What should we prepare for the first technical discussion?
What should we prepare for the first technical discussion?
Current diagrams, source and consumer inventories, data volumes, access policies and known platform constraints.
03What evidence is available at handover?
What evidence is available at handover?
The agreed delivery includes target architecture and transition roadmap. Plan increments with coexistence, migration dependencies and acceptance checkpoints.
04How is the engagement estimated?
How is the engagement estimated?
We review the available inputs before estimating: Current diagrams, source and consumer inventories, data volumes, access policies and known platform constraints. The proposal identifies dependencies, review milestones and excluded work; the scope determines the schedule.
Related
Related services and delivery options
Start a conversation
Discuss your next technical step
Share your current situation and the constraint you need to resolve. We will use the discovery inputs above to define a practical scope for Data Architecture.