EXPOSED
The bread-and-butter DBA workload — writing and tuning SQL, building indexes, scripting backups, provisioning instances, patching, generating capacity reports — is exactly what managed cloud services (RDS, Aurora, Autonomous Database) and code-generating models already handle at usable quality. What resists is the accountable side: designing schemas and partitioning strategies for a specific business's growth curve, owning the recovery when a production database corrupts at 2am, and defending data access controls to auditors. The occupation is not disappearing so much as compressing toward fewer, more senior data-platform owners per company.
Mixed — a routine tier and a judgment tier. Index recommendations, execution-plan tuning, backup scripting, replication setup, and version upgrades are all now either autopiloted by RDS/Autonomous or one prompt away, which caps this at 9 — the remainder that holds is capacity modelling against a specific business's growth curve and untangling a multi-terabyte corruption with no clean restore point.
Fully desk- and screen-based. A 4 reflects the residue of racked on-prem servers — walking a datacentre to reseat a failed disk array or attend a cutover window — but the overwhelming majority of the job is SSH, a console, and a ticket queue that can be worked from anywhere.
No licence, no signature requirement. No state licence gates database administration; Oracle OCP, Microsoft or AWS certifications get you shortlisted but no regulator can pull them, and when a breach happens it is the company that answers under HIPAA or SOX while the DBA answers to their manager.
Some relationship component. An 8 recognises that developers escalate to the DBA they trust with prod credentials and that auditors want a familiar name walking them through access controls, but the artifact you deliver — a schema, a grant, a restored table — is judged on whether it works, not on who produced it.
Meaningful discretion. 13 is earned in the 2am window: deciding whether to fail over, roll back a migration mid-flight, or accept data loss to restore service is a call with no runbook and real revenue attached, and schema and partitioning decisions bind the application for years — it stops short of 14+ because most weeks are change-control tickets under an approved process.
Has AI actually changed your work?