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Data Architect

You decide how an organisation's data is shaped before anyone builds on it.

No degree needed Hard, and mostly a judgement job rather than a tooling one.


Can I actually do this?

Genuinely senior and not entered directly — it is where data engineering and analytics careers arrive after several years. Open without a degree, and the distinguishing skill is being able to defend a modelling decision to both engineers and executives. If you are early, aim at data engineering or analytics engineering and come back.

Who it suits. People who can see the shape of a problem before it has been built wrong.

Runway. Years. This is a senior role.

Coming from another job?

Coming from data engineering or analytics engineering with a few years behind you? That is the route. What you add is writing the decision down before it is built. Data Engineer Analytics Engineer Database Administrator

Also advertised as

  • Data Modeller
  • Information Architect
  • Enterprise Data Architect

The route

Four stations, in order. Each one is a thing you finish before the next matters.

  1. Station one

    Learn it free

    Only the best few, deliberately. Every one of these is free to use — the pill on each card says exactly what is and isn't free.

    PostgreSQL — the official tutorial

    Free to learn · no certificate

    Architecture arguments are settled in the concrete. Relational modelling remains the foundation to argue from.

    AWS Well-Architected Framework

    Free to learn · no certificate

    The vocabulary of trade-offs — cost, reliability, operability — that architecture decisions are judged in. Free.

    dbt — what is dbt?

    Free to learn · no certificate

    How modelling decisions get implemented and tested in most modern stacks. Free to read.

    See the full catalog in the explorer →

  2. Station two

    Attest strategically

    Nothing worth buying. This role is hired on decisions you have made and can defend. Cloud data certifications appear in some postings and are worth having if an employer funds one, but no certificate substitutes for a modelling decision that survived contact with a real organisation.

    Nothing here is worth paying for

    No credential needed

    Nothing worth buying. This role is hired on decisions you have made and can defend. Cloud data certifications appear in some postings and are worth having if an employer funds one, but no certificate substitutes for a modelling decision that survived contact with a real organisation.

  3. Station three

    Prove it

    A certificate says you passed a test. These say you can do the job.

    A data model with its trade-offs written down

    What you chose, what you rejected, and what it costs. The document is the deliverable.

    A migration you planned

    How you would move a live system without stopping it. Sequencing is the skill.

    A definition that ended an argument

    Find two parts of a business counting the same thing differently and write the model that reconciles them.

  4. Station four

    Get hired

    Search these exact titles

    • data architect
    • data modeller
    • enterprise data architect
    • information architect

    Who hires for this. Large enterprises with real data estates, consultancies, and regulated industries where lineage and definitions must be defensible.

    Hiring rests on written decisions and how you explain trade-offs aloud, which is why it resists being entered from study. That is our reading of the field, not a verified hiring statistic.

    On salary

    We don't publish salary estimates. Numbers copied between blogs drift from reality, and a wrong number costs you real negotiating power. When we have a verified public source, it goes here with its date.


Where this route continues

This is usually where a data career arrives rather than a step toward something else. From here people move into consultancy or management, neither of which this site maps.

· How we verify