The database administrator who stopped assembling evidence by hand
$178,580top of the range in New York · middle $104,620 / yr
AI augments this role
Database Administrators in the United States earn a median of $104,620 a year. Pay starts near $60,230. Pay reaches $178,580 at the top of the range in New York, the best-paying state for this work among those with at least 500 people in the job.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Database Administrators, SOC 15-1242). Last checked 9 September 2026.
Entry level
$60,230
Top of the range · New York
$178,580
Education
Bachelor's in CS or IT
Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Database Administrators). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.
🆕 New & Trending AI Tools for Database AdministratorReviewed September 2026
We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Database Administrator work right now.
Claude CodeNEWFree / usage-based
Terminal coding agent that reads your repo, runs tests, and ships multi-file changes.
How a Database Administrator uses it: describe a feature and let it implement and test it across the codebase
OpenAI CodexNEWIncl. w/ ChatGPT plans
Agent that runs longer, deterministic multi-step coding jobs on its own.
How a Database Administrator uses it: delegate a well-defined build or migration and review the finished result
WindsurfNEWFree / $15 mo
Agentic IDE that keeps context across a whole project.
How a Database Administrator uses it: make large, coordinated changes without losing track of the codebase
AWS KiroNEWPreview / see site
Spec-driven coding agent that turns written specs into working code.
How a Database Administrator uses it: write the spec first and let it build to that spec
NotebookLMNEWFree / $7.99 mo
Google tool that answers questions grounded only in the documents you give it — with citations.
How a Database Administrator uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source
CursorFree / $20 mo
AI-native code editor that edits across an entire project.
How a Database Administrator uses it: describe a change in plain English and let it rewrite and refactor whole files
GitHub Copilot (Agent Mode)$10–19 mo
AI pair-programmer built into VS Code and GitHub that now completes multi-step tasks.
How a Database Administrator uses it: hand off a task and have it plan, edit multiple files, and open a pull request
ChatGPTFree / $20 mo
The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.
How a Database Administrator uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions
ClaudeFree / $20 mo
AI assistant known for careful writing, long-document analysis, and coding.
How a Database Administrator uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing
This is the letter I wish someone had handed me before I took responsibility for a live database. A database administrator keeps the database up, backed up, and permissioned. Up means the application can reach it during the hours the business promised. Backed up means you can restore, not merely that a job wrote a file somewhere. Permissioned means the right people and the right services can read or change data, and everyone else cannot. The day is operations. You watch, you patch, you grant and revoke access, you rehearse failure, and you answer when a system goes quiet.
I am writing to you if you want that chair. The database may be SQL Server, Oracle, PostgreSQL, MySQL, or a managed cloud service that still needs a human who understands recovery and access. The company may be a bank, a hospital, a retailer, a software firm, or a public agency. The users are application teams, analysts, and the customers who never see you until something breaks. Your craft is the break that does not become a disaster, and the access list that would survive an audit.
Availability, recovery, and who is allowed in
Availability starts with noticing trouble before the help desk does. You watch connections, storage, replication lag, failed jobs, and queries that block everyone else. You learn the ordinary shape of the system so an odd shape stands out. You keep a runbook that says what to check first when the application times out, written so a teammate can follow it at night. You plan maintenance windows with the people who own the application, and you treat a window as a promise: what will change, how you will know it worked, and how you will back out.
Backups are a means. Restores are the proof. You schedule full backups and the logs or increments that let you recover to a point in time, you store copies where a single room cannot destroy them, and you actually restore. A restore test onto a non-production server, checked against a control count the application owner recognizes, is the habit that separates an administrator from a person who hopes. You also plan for the ugly cases: a dropped table, a bad deploy, a region problem, a disk that filled at the worst hour. Write down the recovery point you can honestly offer and the recovery time you have actually practiced. Offer that practiced recovery, and leave hope out of the incident channel.
Permissions are the third duty, and they are daily, not theoretical. People join, change roles, and leave. Services need accounts of their own, with a purpose you can name. Analysts need read access to some schemas and must not have write access to payroll. You grant through roles, you avoid shared passwords, you remove access when the ticket says the person has gone, and you can explain the model to a security reviewer without a scramble. When a developer asks for broad rights on production “just for today,” you offer a narrower right or a safer path. That conversation is the job. The administrator who always says yes will eventually explain a breach. The administrator who always says no, with no alternative, will be routed around.
Around those three duties sit the rest of the week. You patch the engine and the operating system on a schedule you negotiated. You watch growth so storage does not become an outage. You review a change script before it runs in production, looking for locks, missing backups, and a rollback. You open vendor cases when the engine misbehaves. You sit in the incident channel and say, in plain sentences, what is affected and what you are doing. You write the note afterward: cause, what restored service, what will change so the same failure is louder next time. None of this is glamorous. All of it is why the application is still there in the morning.
The pager, the ticket, and the audit
People you deal with have different urgencies. Application developers want a change shipped and a query that stops hurting. Security wants an account review and evidence of who touched a sensitive table. Analysts want a copy of data that will not put production at risk. Your manager wants an outage story that is short and true. Customers want the site to work, and they will never learn your name if you are good. You translate among them. A developer’s “quick alter” is your lock risk. A security questionnaire’s long list is your access model, shown calmly. An executive’s “is it down” is a yes, a no, or a precise partial, delivered before you have a root cause.
On-call is part of many of these jobs, and you should ask about it before you fall in love with the salary. Ask how often the rotation hits, who else is on it, and what “respond” means. Ask whether after-hours work is swapped time, extra pay, or simply expected. The published wage figures later in this letter are annual pay for the occupation. They do not itemize a pager. If the posting is vague, get the rotation in writing with the offer. A database that is “highly available” on a slide and supported by one tired person is a risk to you and to the business.
The restore is the credential that matters on the job
Be able to describe a restore you have done or rehearsed: what failed or what you simulated, where the copy lived, how you proved the data was usable, and who you told. A backup job that has never been restored is a hope. Employers hiring an administrator are hiring the proof.
No licence, and the proof operators accept
There is no universal licence for a database administrator. No state issues a card you must carry before you take a backup. Employers hire on production experience, on how you talk about failure, and often on a degree in computer science, information systems, or a related field. People also arrive from systems administration, from software roles that sat close to the database, or from support desks where they already lived in incidents. A degree helps a screen. A story about a restore, a patch, and an access review helps the hiring manager.
Vendor certificates from Oracle, Microsoft, or a cloud provider can show you studied that engine’s administration path. They are useful when a posting names the engine and a recruiter is filtering. They are weaker than a year of supervised production work. If you are early, seek a seat beside a senior administrator: employer training, a junior title, a rotation through backups and access tickets before anyone hands you a solo pager. Build a home lab only as practice, and say that is what it is. A lab restore is real preparation. A restore with a business waiting is a different kind of proof.
What you prepare, then, is a small set of stories you can tell without leaking secrets. One outage or degraded hour, what you checked, what you changed, how you communicated. One access request you narrowed. One upgrade you planned, including the back-out. One restore test, including what it taught you to fix in the runbook. Write them down. Practice them until they are short. That packet is the credential this job actually uses.
Landing the operations seat
Read postings for the verbs. You want uptime, backup and recovery, access, patching, and on-call. A posting that is mostly new tables, stored procedures, and application queries is a design role, and it deserves a different conversation than this one. Apply to the operations role with the engine you know named honestly, and with the engines you have only studied labeled as studied. Pretending production ownership you have not had is how people get hurt in the first incident.
Interviews for this work are practical. Expect a walk-through of how you would respond if the application could not connect. Expect a question about how you would grant a contractor access for a limited purpose and then take it away. Expect skepticism about backups: when did you last restore, and how did you know the copy was good. You may get a short technical screen on the engine they run. Answer what you know, and say what you would look up. Inventing a command in an interview is a preview of inventing a command during an outage.
Ask a few things of your own before you accept. How many databases, and which ones are the ones that matter if they stop. Who is on the rotation with you. When the last serious incident was, and what changed afterward. Whether change scripts are reviewed. Whether restores are tested on a schedule. A team that welcomes that curiosity is a team that already does the work. A team that is offended by them is telling you the job will be heroics. Heroics are a bad employment plan.
After the first production database
Early on you take tickets. You reset access, you watch a backup job, you sit with a senior during a patch, and you write the notes they are too busy to write. The growth is when you own a system: you know its recovery plan, you know its noisy queries, you know who depends on it, and other people call you first. Senior work adds design of the operational pattern itself. You choose how replication is laid out, you set the access model newer systems must follow, and you review the changes that scare you.
From there people branch. Some lead a small administration group and spend more time on staffing, vendor contracts, and the calendar of upgrades. Some move toward data platform engineering, where the database is one part of a larger reliability job. Some specialize so deeply in one engine that other companies borrow them for migrations and hard recoveries. A few cross into security-focused data work, still centered on access and evidence. What moves you is a record of systems that stayed up, restores that worked, and access reviews that an auditor could follow. Keep that record, with customer data left out. When you ask for senior scope, bring the record, not a slogan about being calm under pressure.
Management is a real option and a different job. If you want it, learn to write the incident note a director can use, and learn to grow the junior who currently holds the night rotation. If you want to stay close to the engine, say that, and negotiate scope instead of a title that pulls you into meetings you will resent. Either path is legitimate. Mixing them up is how people accept a salary for a job they did not mean to take.
Lay the offer against the administrator series
Lay a database-administrator offer against Database Administrators, SOC 15-1242, in the Occupational Employment and Wage Statistics for May 2025, and check that the uptime, backups, and access work match the pay. Pay starts near $60,230. The median is $104,620. The step from entry to median is $44,390. A junior seat, still under a senior who owns the recovery plan, can sit near the entry figure while you learn the estate. An administrator who already owns production systems, a tested restore, and the access model should talk about the median.
New York is where the published range tops out, at $178,580, the high end released for a place with enough people in the occupation for the Bureau to report it. The distance from the national median to that New York high end is $73,960. Keep $178,580 for a late conversation about scope at the top of the published range. New York’s typical pay is a separate figure. The highest state median on this chart is Utah, at $135,750, which sits $31,130 above the national median. If someone waves the New York high end at a job outside that market, bring the conversation back to the median that matches the work and the place.
Other state medians among the leaders are Massachusetts at $129,300, New Jersey at $125,860, Maryland at $124,300, and the District of Columbia at $118,540. Kentucky’s median is $87,390, the lowest on this chart. If you are choosing between places, name Utah’s median and Kentucky’s median as typical pay in those states. Leave any fresh subtraction between them alone. Use the $31,130 gap you already have, the one between the national median and Utah’s median.
Then match dollars to duties. Entry pay fits learning the runbook beside someone who has already survived an incident. Median pay fits owning availability, a restore you can describe, and an access list you can defend. A state median fits when the job is in that state, and it matters more where typical pay pulls away from the national figure, as Utah’s does. Mention New York’s high end only when the estate, the market, and your record of protected databases belong in the same sentence. Ask about the rotation and about restore tests before you treat a round number as a gift. An offer that prices heroics and skips the backup drill is a poor trade, whatever the headline says.
The top of Database Administrator pay — and how to get there with AI
$178,580what Database Administrator pay reaches in New York
Highest state-level top-of-range annual wage for Database Administrators, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.
And the role it leads to — Software Developers — reaches $272,670 in California.
$60,230entry$104,620middle$178,580top end
The database administrator at the top of this range is not the one who answers the most questions; it is the one whose access lists, performance figures and restore evidence arrive on a schedule with nobody assembling them.
Specifying users and access levels for each segment of a database, entering the codes that monitor performance, and planning measures that safeguard files against accidental or unauthorised change are listed duties, and in most shops they collapse into a quarterly scramble through screenshots. Auditors want evidence, not assurance. Each of those outputs can be generated instead: Ansible collects the grants, Amazon Web Services AWS CloudFormation shows how an instance was actually built, BMC Software Recovery Manager RMAN logs prove a restore finished. Once that pack builds itself, your hours move to security design and to writing code, which is the short path across to a developer seat.
Your playbook, by where you are now
Just startingStop taking screenshots
Script the collection of accounts and access levels so a review becomes a query rather than an afternoon.
Put your logical and physical database descriptions and change scripts under version control, including the layout decisions you would otherwise recall from memory.
Schedule a restore test and keep the log, because a backup nobody has restored is only a rumour.
Answer each repeated user question once in writing, then send the writing instead of saying it again.
What proves it: An access review produced by running a script, with the raw output attached.
Realistic span: your first two years
A few years inPut the dull outputs on a timer
Generate the performance report from Amazon Data Pipeline or a job written in Apache Groovy, so the monitoring you configured is actually read by someone.
Use Power Automate to route each review to its approvers and to record who signed what and when.
Write a runbook for every recurring failure, then train a junior member of staff to run it instead of escalating to you.
Let Microsoft Copilot draft the plain-language half of a security procedure, then correct every technical claim in it yourself.
Keep a tally of the hours each scheduled job replaced, dated, because you will need it later.
What proves it: A control pack that regenerates itself each quarter, beside the time records showing what it displaced.
Realistic span: years three to six
ExperiencedSpend the recovered hours on design
Take ownership of security design: segmentation, privileged access, encryption at rest, and the approval route for exceptions.
Run the training for developers and junior administrators so the standard spreads without you attending every review.
Start writing application code against the databases you already run, since the crossing to software development is short from here and paid higher.
Weigh where this work is priced best, with New York holding the top of the range, and read the on-call terms as part of any offer.
What proves it: A security standard adopted beyond your own team, plus an audit passed on generated evidence.
Realistic span: six years onward
The next 90 days
Pick the single report you dread most, which for most people in this job is the user access review, and spend ninety days making it produce itself. Write the query that lists every account and its access level per database segment. Schedule it. Send the output to the approvers automatically, and store what came back. Do the same for one performance extract and one restore log. At the end you will have three things you no longer build by hand, an audit trail that predates the audit, and roughly a week a quarter to put somewhere that pays more.
Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.
Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.
Never used AI before? Start here (2 minutes).
Start with AI on your slowest query. Take a poorly performing query (with any real values replaced by placeholders), paste it and its execution plan into EverSQL or Claude, and ask for optimization and indexing recommendations. Then test every suggestion against a non-production copy and read the resulting plan before you trust it. Query performance is the most visible thing a DBA delivers, and AI-assisted tuning produces wins fast.
For scripting and learning, keep GitHub Copilot in your editor for SQL, PL/SQL, and PowerShell/Python automation, and use Claude or ChatGPT to explain execution plans, wait stats, and replication concepts. Never paste production data or credentials into a consumer tool. AI is the senior DBA looking over your shoulder with suggestions; you are the one who tests them and owns the data.
The one rule, forever: The cardinal rule: never paste production data, PII, credentials, or connection strings into a consumer AI tool — use masked or synthetic data and describe schemas generically. Test every AI-suggested query, index, DDL change, or script against a non-production copy first, and read the execution plan — a wrong index, a bad migration, or a DELETE/DROP without the right WHERE can destroy data or take production down in seconds. Take a verified backup and have a rollback ready before any change. AI is decision support; you are accountable for the integrity, availability, and confidentiality of the data.
The plays — exact steps, exact prompts
Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.
1
Tune queries with AI — the biggest performance lever you have
Why this pays: Query performance is the most visible value a DBA delivers, and a single well-optimized query on a hot path can transform an application's speed. AI-assisted tuning finds the index and the rewrite fast, so you deliver the wins that make you the DBA developers and the business notice.
EverSQLClaudeGitHub Copilot
1
Feed a slow query and its execution plan to EverSQL or Claude for indexing and rewrite recommendations, then validate each against a non-production copy and compare the before/after execution plans yourself.
2
Have AI analyze a slow query and propose concrete, testable optimizations.
Copy-paste this prompt
Act as a senior database performance engineer. Here is a slow query and its execution plan (values replaced with placeholders): [paste query and plan] on [engine: PostgreSQL/SQL Server/MySQL/Oracle]. The table sizes are roughly [sizes]. Identify why it's slow, propose specific index changes and query rewrites, explain the trade-offs of each (write cost, storage, lock impact), and tell me exactly what to measure to confirm the improvement. Flag any change that could hurt other queries.
Test every suggested index and rewrite against a non-production copy and read the new plan — an index that speeds one query can slow writes and other queries. Never paste real production values.
What you'll haveFaster queries and applications, delivered fast — the visible performance wins that make you the DBA the business relies on and moves you up the band.
2
Automate routine operations with scripts and AI
Why this pays: The DBA who automates backups, index maintenance, provisioning, and health checks stops firefighting and stops getting paged at 3am — and reliability, not heroics, is what earns trust with the mission-critical systems. AI writes the automation scripts fast so you build that reliability without a scripting background.
GitHub CopilotPowerShell / PythonAnsible
1
Use GitHub Copilot to draft PowerShell or Python maintenance scripts, and Ansible for repeatable configuration, then add the safety checks that make an automation trustworthy.
2
Have AI write a maintenance script with the safety checks built in.
Copy-paste this prompt
Act as a database automation engineer. Write a [PowerShell/Python] script that [verifies last night's backups restored successfully to a test instance and reports failures]. Requirements: read connection details from a secure store (never hardcoded), confirm each step before proceeding, log everything, fail safe (never touch production data destructively), send an alert on any failure, and be idempotent. Then list the failure cases I must test before scheduling it. Use placeholders for any server names or credentials.
A backup you haven't test-restored is not a backup. Verify the script fails safe and never runs a destructive action against production, and keep credentials in a secure store.
What you'll haveRoutine operations automated and reliable — the freedom from firefighting and the dependable estate that earns you the mission-critical systems and their pay.
3
Catch incidents before they page you with AI monitoring
Why this pays: Uptime is the metric a DBA is ultimately judged on, and preventing an outage is worth far more than recovering from one. AI-assisted monitoring surfaces the anomaly and the trend before it becomes an incident, so you protect the availability the business depends on — the proactive reliability that defines a senior DBA.
Use SolarWinds DPA (or your platform's native tooling) for wait-time analysis and anomaly detection, and Grafana dashboards for trends, so degradations surface as signals instead of outages.
2
Have AI help you interpret metrics and design meaningful alerts.
Copy-paste this prompt
Act as a database reliability engineer. Here are recent performance metrics for a [engine] database: [paste de-identified metrics — CPU, wait stats, cache hit ratio, slow-query counts, storage growth]. Tell me which trends indicate a developing problem, the likely causes, the leading indicators I should alert on (and the thresholds), and the preventive actions to take now. Distinguish the signals worth paging on from the noise.
Alert on leading indicators, not just failures, but tune thresholds to avoid alert fatigue. Verify AI's read against your own knowledge of the workload before acting.
What you'll haveProblems caught and prevented before they become outages — the proactive uptime protection that marks you as senior and gets you trusted with critical estates.
4
Lead cloud migrations and run managed databases
Why this pays: Cloud and managed-database skills are the higher-paying frontier of database work, and migration expertise is a premium, in-demand capability. AI accelerates the assessment, compatibility analysis, and planning, so you own the cloud transition that reprices your role.
Azure SQL Database CopilotOracle Autonomous DatabaseAWS Database Migration Service
1
Use cloud-native AI like Azure SQL Database Copilot or Oracle Autonomous Database's built-in intelligence to run and manage databases with less manual tuning, and plan migrations methodically.
2
Build a rigorous migration assessment and cutover plan with AI.
Copy-paste this prompt
Act as a cloud database architect. I'm planning to migrate a [source: on-prem SQL Server] database to [target: Azure SQL Managed Instance]. Given this profile — [size, workload pattern, uptime requirements, dependencies] — produce a migration plan: the compatibility and feature-gap assessment, right-sizing approach, the data-migration method (with minimal downtime), the testing and validation steps, the cutover runbook, and the rollback plan. List the risks and the pre-migration checks I must complete.
Validate the compatibility assessment against the real database — AI can miss a deprecated feature or a dependency. Rehearse the cutover and rollback in a test migration before the real one.
What you'll haveCloud migrations owned and managed databases run well — the premium, in-demand cloud skill that reprices a DBA toward the top of the band.
5
Harden security and pass audits with AI
Why this pays: A breach or a failed compliance audit is career-defining in the wrong direction, and the DBA who keeps data secure and audit-ready is indispensable. AI helps you review permissions, spot misconfigurations, and prepare for audits thoroughly and fast.
ClaudeGitHub Copilotnative database audit tools
1
Use your platform's native auditing plus Claude to structure a security review — least-privilege access, encryption, patch level, backup integrity — against the standard your organization must meet.
2
Build a database security and compliance review checklist for your environment.
Copy-paste this prompt
Act as a database security specialist. Build a security and compliance review checklist for a [engine] database that must meet [standard, e.g., SOC 2 / PCI-DSS / HIPAA]. Cover: least-privilege access and role review, authentication, encryption at rest and in transit, auditing and logging, patching, backup security and tested recovery, and network exposure. For each item, give me what 'good' looks like and the query or check to verify it (describe generically — no real credentials or data).
Run the checks yourself against the real environment; never paste actual credentials, connection strings, or user data into the tool. AI structures the review; you verify and remediate.
What you'll haveA secure, audit-ready database estate — the security and compliance ownership that makes you indispensable and protects the reputation top-of-range DBAs are paid for.
6
Become a Database Reliability Engineer
Why this pays: The top of this band increasingly belongs to database reliability engineers — DBAs who bring software engineering to data: schema-as-code, automated pipelines, and SLOs. AI accelerates the automation and code, so you can operate at that platform level and command the pay that comes with it.
TerraformLiquibase / FlywayClaude
1
Move schema changes into version control with Liquibase or Flyway, provision database infrastructure with Terraform, and use AI to build the CI/CD checks that make database changes safe and repeatable.
2
Design a safe database-change pipeline with AI.
Copy-paste this prompt
Act as a database reliability engineer. Help me design a CI/CD pipeline for database schema changes using [Liquibase/Flyway]. Include: how changes are reviewed and versioned, the automated checks before a change is applied (destructive-change detection, migration dry-run, backup verification), the promotion path from dev to production, the rollback strategy for a failed migration, and the SLOs and monitoring I should define for the databases. Then list the guardrails that prevent a bad migration from reaching production.
Automated schema changes are powerful and dangerous — a destructive-change gate, a dry-run, and a verified backup before every production migration are mandatory. Test the whole pipeline on non-production first.
What you'll haveDatabases run as code with automated, safe change pipelines and SLOs — the reliability-engineering skill set that reaches the $178,580 top of the band.
Your 12-month sequence to the top of the range
How the plays above stack into a path from median pay toward the $178,580 tier.
Month 1
Use AI to tune your slowest queries, validating every index and rewrite against a non-production copy and reading the new execution plan.
Months 2-3
Automate a routine operation — backup verification, index maintenance, health checks — with AI-drafted, safety-checked scripts.
Months 3-6
Stand up AI-assisted monitoring that alerts on leading indicators, and build the habit of preventing incidents rather than recovering from them.
Months 6-9
Take on a cloud migration or managed-database project with a rigorous, AI-assisted plan and a rehearsed cutover and rollback.
Months 9-12
Run an AI-structured security and compliance review and remediate the gaps, making your estate audit-ready.
Year 2
Move toward database reliability engineering — schema-as-code, safe change pipelines, and SLOs — the platform ownership that reaches $178,580.
Gear for this job
As an Amazon Associate, PayCrunch earns from qualifying purchases. Links to books and tools are for the job on this page; we only recommend what we’d use in the work.
Same live O’Reilly 3rd already on cloud-engineer / devops-engineer / devops-architect / automation-engineer. This page’s Become a Database Reliability Engineer play is provision database infrastructure with Terraform and Year 2 is schema-as-code. Not Kubernetes Up and Running as the lead (that is cloud-engineer / site-reliability-engineer) and not CompTIA Security+ (that is software-engineer / infosec).
Next steps for a Database Administrator
Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.
Database Administrator work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Database Administrators (SOC 15-1242). O*NET Job Zone 4 is typical: a bachelor's degree, so the honest next credential is a professional certificate or bachelor's-level coursework — not a random catalog dump.
The occupation's listed knowledge areas include Telecommunications and Engineering and Technology; the links search those subjects, not a generic 'career courses' list.
Database Administrators in this dataset list AJAX among the tools in use, so a program that names that stack is a better fit than a survey course.
Coursera search for telecommunications — a professional certificate or bachelor's-level coursework that lines up with computing, not a generic professional-development aisle.
FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Database Administrator work, not a claim that they list a counted SOC 15-1242 inventory.
Write a Database Administrator resume, or one aimed at Software Developers, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.
A Database Administrator resume that names the actual tasks on this page, or the step-up title Software Developers, beats a blank template when you apply.
What Database Administrators earn by state
These are the Bureau of Labor Statistics’ own figures for Database Administrators, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.
Utah
$135,750
highest of them · +30% vs the national median
Kentucky
$87,390
lowest of the 33 states and D.C. that qualify · -16% vs the national median
The same job pays $48,360 more a year at the median in Utah than in Kentucky — 55% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. The top-of-range figure quoted at the head of this page, $178,580, is a different statistic in a different place: it is the 90th-percentile wage in New York. The state that pays the typical worker most and the state where the best-paid go highest are not always the same one.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 15-1242. 33 states and D.C. clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.
Free data. Use any of it.
PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.
No — it automates the routine and raises the stakes on judgment. Cloud and 'autonomous' databases handle more tuning and patching automatically, but someone still owns data integrity, security, recovery, and the design and change decisions that AI gets wrong at catastrophic cost. The work is shifting from manual maintenance to automation, reliability engineering, and architecture. DBAs who use AI to automate and prevent become more valuable; those who only do manual, repeatable tasks are the exposed ones. Move up the stack and you're on the safe side.
Can I trust an AI-suggested query, index, or migration?
Only after you test it against a non-production copy and read the plan. AI suggests indexes that slow writes, rewrites that change results subtly, and migrations that miss a dependency. Validate every change on a copy, compare execution plans, and take a verified backup with a rollback ready before touching production. A wrong change can destroy data or cause an outage in seconds, and that's entirely on you.
Is it safe to use AI tools with our databases?
Not with production data or credentials in consumer tools — this is the cardinal DBA rule. Never paste real data, PII, connection strings, or credentials into ChatGPT or Claude's consumer tiers. Use masked or synthetic data, describe schemas generically, and use your organization's approved enterprise AI tier or in-database AI features (like Azure SQL Copilot) that respect your data boundary for anything specific.
How does AI actually increase a DBA's pay?
The top of the band belongs to DBAs trusted with mission-critical estates and to those who move into cloud and reliability engineering. AI accelerates exactly that path: faster query tuning and automation (visible wins and freedom from firefighting), proactive monitoring (the uptime you're judged on), cloud-migration skills (the premium frontier), and the software-engineering practices of a DBRE. Reliability and higher-value skills, delivered faster than peers, are what earn the lead and DBRE pay.
Which AI tool should a DBA learn first?
An AI query optimizer or a general model for tuning — EverSQL, or Claude with your execution plans — because query performance is your most visible daily value and the wins come fast. Add GitHub Copilot for automation scripting, and learn your cloud platform's built-in AI (like Azure SQL Copilot) as you move toward managed databases and reliability engineering.
Methodology & sources
Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.