Specialist role

Data architect

Your team can make decisions using traceable data. Connect data models, ownership and system interfaces in a consistent architecture.

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Understand the role

What does a Data architect do?

Connect data models, ownership and system interfaces in a consistent architecture.

The central objective is: Your team can make decisions using traceable data.

Problem → approach

Typical situations where this role helps

Faulty or late data is only discovered in reports and needs repeated manual correction.

01

Capacity is missing for this task: Connect data models, ownership and system interfaces in a consistent architecture

Possible approach

Connect data models, ownership and system interfaces in a consistent architecture.

02

Before a change, your team needs to address: Prepare acceptance and handover: Architecture design with reasoned decisions and a staged delivery plan

Possible approach

Prepare acceptance and handover: Architecture design with reasoned decisions and a staged delivery plan.

03

Your team needs a tangible output: Architecture design with reasoned decisions and a staged delivery plan

Possible approach

Monitor loads and quality rules.

Does this fit your situation?Five short answers turn an initial idea into a first brief.

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Inside the work

From problem to a verifiable outcome

An illustrative workflow for a Data architect. Select a step to see what may be prepared and handed over.

Starting point

Faulty or late data is only discovered in reports and needs repeated manual correction.

  • Map sources and data contracts.
  • Relevant systems: SQL.
Typical projects

What an assignment could look like

Illustrative scenarios for orientation. Scope and outcomes are agreed for each assignment.

Project example 01

Connect data models, ownership and system interfaces in a consistent architecture.

Starting point
Capacity is missing for this task: Connect data models, ownership and system interfaces in a consistent architecture.
Approach
Connect data models, ownership and system interfaces in a consistent architecture.
Possible outcome
Architecture design with reasoned decisions and a staged delivery plan.
Discuss a similar task ↗
Project example 02

Prepare acceptance and handover: Architecture design with reasoned decisions and a staged delivery plan.

Starting point
Before a change, your team needs to address: Prepare acceptance and handover: Architecture design with reasoned decisions and a staged delivery plan.
Approach
Prepare acceptance and handover: Architecture design with reasoned decisions and a staged delivery plan.
Possible outcome
Data flow with documented controls.
Discuss a similar task ↗
Project example 03

Handover for Data architect

Starting point
Your team needs a tangible output: Architecture design with reasoned decisions and a staged delivery plan.
Approach
Monitor loads and quality rules.
Possible outcome
A documented working approach for Data architect.
Discuss a similar task ↗
Tangible deliverables

What may be delivered

Examples, not a blanket delivery promise. Choose the outputs your project actually needs.

  • Architecture design with reasoned decisions and a staged delivery plan.
  • Data flow with documented controls.
  • Review record for: Data ownership.
  • Documented decisions, dependencies and open issues.
  • Handover materials and knowledge transfer for the internal team.
Specialist fit

How to recognise relevant experience

For a Data architect, a traceable working approach matters. With VB Analyst, your task becomes a search brief with verifiable essential criteria.

Suggested specialist interview

Make experience tangible

Handle a faulty record and an interrupted run; show how a restart avoids duplicate records.

Connection to your assignment
Connect data models, ownership and system interfaces in a consistent architecture
Relevant working environment
SQL

Anonymised examples suffice for an initial assessment. References, qualifications and availability are clarified for the assignment; a tool list alone does not establish suitability.

Which seniority makes sense?

Senior experience is useful when multiple systems, long-term architecture decisions or operational risks intersect. The key is explaining trade-offs against your constraints.

Applied to: Connect data models, ownership and system interfaces in a consistent architecture.

Remote, hybrid or on-site?

Remote work is usually practical with approved access, data and contacts. On-site sessions can support kick-off or handover.

A point to resolve in the brief

Faulty or late data is only discovered in reports and needs repeated manual correction.

Career profile · concise

Responsibilities, entry routes and working environment

For reference and preparation of your search brief.

Fact sheet: Data architectTasks · qualifications · tools

What does a Data architect do?

Connect data models, ownership and system interfaces in a consistent architecture.

Tasks and responsibilities: Data architect

  • Connect data models, ownership and system interfaces in a consistent architecture.
  • Prepare acceptance and handover: Architecture design with reasoned decisions and a staged delivery plan.

How to recognise the outcome

Architecture design with reasoned decisions and a staged delivery plan.

Training and degree paths: Data architect

Computer science, business informatics, mathematics or statistics; technical data work may also draw on vocational IT training with relevant data experience.

These are possible professional routes, not a universal degree requirement. For this role we review experience with a comparable task, technical depth and the ability to document a handover. Required degrees and evidence are defined in the specific search brief.

Specific selection questions

  • Data ownership
  • Modelling
  • Dependencies

Tools & technologies

Possible working environment; the actual combination depends on the assignment.

Areas of work

Capability compass

Which combination moves your project forward?

Connect your task to relevant capabilities. A tool selection narrows the working environment; the results explain each professional connection.

Starting pointData architectSearch the full catalogue ↗

The professional connection becomes clear through tasks and possible outputs.

Data engineering & quality

SQL database developer

Develop queries, data structures and processing steps for reliable datasets.

Your possible outcome

Versioned SQL scripts with traceable joins and verifiable results.

Capability profiles for orientation. An individual’s suitability is assessed against the search brief.

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Define the boundaries

When another role may fit better

This may not be the right role if your main priority lies elsewhere. These profiles help clarify the difference.

Roles compared directly

This overview describes typical areas of responsibility. Actual scope may vary between organisations.

Tasks and professional boundaries
CriterionData architectData processing specialistsData engineerData governance manager
Core taskConnect data models, ownership and system interfaces in a consistent architecture.Structure incoming data, standardise formats and handle exceptions explicitly.Connect data sources and develop traceable processing pipelines.Coordinate data ownership, business definitions and decision routes across teams.
Possible outcomeArchitecture design with reasoned decisions and a staged delivery plan.Checked dataset with a processing log and exception list.Versioned data flow with quality rules, exception logging and operational handover.Governance model with named data owners, a prioritised glossary and agreed approvals.
Working environmentSQLSQL, Microsoft ExcelSQL, PythonSQL, Microsoft Excel

Unsure which role fits?Start with your goal and your team’s tasks.

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Divide the work sensibly

Which expertise complements this role?

Complementary roles address adjacent tasks. They are not automatic substitutes for a Data architect.

Data analysis

Data analyst

Clean data, investigate business questions and explain the findings.

Agree the interface

Reproducible analysis with control totals and reasoned conclusions.

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IT architecture & integration

EDI Specialist

Map message formats and partner requirements. Test transmission, acknowledgements and error handling.

Agree the interface

An agreed message schema with documented partner handovers.

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Which work can be scoped as a package?

A managed service requires defined inputs, scope and approval paths. These services provide a starting point for that definition.

For agencies and service providers: White-label delivery can align formats, approvals and communication under your brand. Client access and responsibilities are agreed in advance.

Interactive fit check

Does a Data architect fit your project?

Five questions, a reasoned assessment and a brief for your enquiry. You can change every answer.

Question 1 of 5No contact details needed
What would you like to improve?
Your assignment with VB Analyst

Choose expertise. Define the engagement.

A capacity gap does not always require a permanent role. Choose a model by responsibility, duration and desired outcome.

A useful starting point

Anything still unclear?

Short answers for your next step. We can work through your specific situation together.

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What does a Data architect actually do?

Connect data models, ownership and system interfaces in a consistent architecture. One possible outcome: Architecture design with reasoned decisions and a staged delivery plan.

How can I assess professional fit?

Handle a faulty record and an interrupted run; show how a restart avoids duplicate records.

Which tools does the specialist need?

Possible working environments include SQL. The required combination depends on your assignment. Not every listed tool is a mandatory requirement.

Are the specialists available now?

The profiles describe capabilities and typical assignments. Actual people, availability, terms and engagement are assessed for your specific need.

Your expertise selection

Compare roles

Compare up to four roles by their responsibilities. This does not assess actual people.

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