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JOB REPORT / 15-1243 · 43 TASKS

Database Architects.

Can AI do the work of Database Architects?

Mostly it works alongside you. Here is what shifts, task by task.

YOUR EXPERIENCE MATTERS

How does this fit your work?

How many tasks do you use AI to assist with at work?

Drag the dot. There’s no wrong answer; it starts at our estimate.

Starting pointOur estimate

The mark shows what’s typical for this job.

The parts of your job AI can already do most of:

  • Identify and correct deviations from database development standards
  • Verify the structure, accuracy, or quality of warehouse data
  • Develop data model describing data elements and their use…

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A guided certificate program in AI-assisted Database Architects work. It covers the 43 AI-affected parts of your job and ends in a capstone a person reviews.

WHAT WE LOOKED AT

Your job, task by task.

43 of 43 tasks reviewed

We went through all 43 core tasks in this job, one at a time.

Task by task, from the work Database Architects actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.

  1. TASK 01

    Identify and correct deviations from database development standards.

    AI DOES

    Scans schemas, queries, and scripts to flag naming violations, missing indexes, poor data types, and style inconsistencies

    YOU DO

    Weigh trade-offs, understand legacy constraints, and approve changes that could break live systems

  2. TASK 02

    Verify the structure, accuracy, or quality of warehouse data.

    AI DOES

    Scans tables for missing values, duplicates, schema mismatches, and outliers

    YOU DO

    Define what quality standards matter and judge whether flagged issues are real problems

  3. TASK 03

    Develop data model describing data elements and their use, following procedures and using pen, template or computer software.

    AI DOES

    Suggests entity relationships, generates schema drafts, and flags naming inconsistencies

    YOU DO

    Understand business context and decide which trade-offs actually fit the organization

  4. TASK 04

    Write and code logical and physical database descriptions, and specify identifiers of database to management system or direct others in coding descriptions.

    AI DOES

    Drafts table definitions, suggests indexes, and generates DDL scripts from plain-language descriptions

    YOU DO

    Validate that the design truly fits business logic, security rules, and real-world performance demands

  5. TASK 05

    Test software systems or applications for software enhancements or new products.

    AI DOES

    Generates test cases, writes automated test scripts, and spots data anomalies

    YOU DO

    Decide what edge cases truly matter for your specific warehouse design

  6. TASK 06

    Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.

    AI DOES

    Drafts integration code, suggests data mapping strategies, and flags compatibility issues

    YOU DO

    Understand the unique business context and make tradeoff decisions that fit real constraints

  7. TASK 07

    Identify and evaluate industry trends in database systems to serve as a source of information and advice for upper management.

    AI DOES

    Scans articles, reports, and forums to surface emerging database trends and summarize key findings fast

    YOU DO

    Apply business context and judgment to decide which trends actually matter for your organization

  8. TASK 08

    Review designs, codes, test plans, or documentation to ensure quality.

    AI DOES

    Flags bugs, style issues, and gaps in test coverage automatically

    YOU DO

    Judge whether the design truly fits what the business needs

  9. TASK 09

    Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing.

    AI DOES

    Drafts test scripts, generates sample test data, and suggests unit and integration test cases from schema descriptions

    YOU DO

    Validate that tests match real business logic and catch edge cases unique to your data warehouse

  10. TASK 10

    Select methods, techniques, or criteria for data warehousing evaluative procedures.

    AI DOES

    Suggests evaluation methods, compares criteria, and drafts assessment frameworks based on best practices

    YOU DO

    Apply judgment about your organization's real priorities, risks, and tradeoffs

  11. TASK 11

    Establish and calculate optimum values for database parameters, using manuals and calculators.

    AI DOES

    Looks up parameter definitions, suggests benchmark values, and runs calculations fast

    YOU DO

    Apply deep knowledge of your specific system's workload, hardware limits, and business goals

  12. TASK 12

    Design databases to support business applications, ensuring system scalability, security, performance, and reliability.

    AI DOES

    Drafts schema designs, suggests indexing strategies, generates SQL scripts, and checks for common performance or security issues

    YOU DO

    Talk to stakeholders, weigh real-world trade-offs, and own decisions about scalability and risk

  13. TASK 13

    Work as part of a project team to coordinate database development and determine project scope and limitations.

    AI DOES

    Drafts scope outlines, summarizes requirements, and suggests schema designs

    YOU DO

    Negotiate priorities and align diverse team members around shared goals

  14. TASK 14

    Develop load-balancing processes to eliminate down time for backup processes.

    AI DOES

    Drafts load-balancing strategies, generates sample scripts, and explains tradeoffs between approaches

    YOU DO

    Test designs against your real systems and own the final architecture decisions

  15. TASK 15

    Plan and install upgrades of database management system software to enhance database performance.

    AI DOES

    Researches upgrade options, drafts upgrade plans, generates migration scripts, and flags compatibility issues

    YOU DO

    Test in your real environment and make the final call on risk before touching production

  16. TASK 16

    Review project requests describing database user needs to estimate time and cost required to accomplish project.

    AI DOES

    Drafts initial time and cost breakdowns from project descriptions

    YOU DO

    Apply hands-on experience to validate assumptions and catch hidden complexity

  17. TASK 17

    Provide technical support to junior staff or clients.

    AI DOES

    Drafts clear explanations, suggests fixes, and pulls up relevant documentation instantly

    YOU DO

    Listen carefully and adapt your answer to what that specific person truly understands

  18. TASK 18

    Set up database clusters, backup, or recovery processes.

    AI DOES

    Drafts cluster config scripts, suggests backup schedules, and flags common setup mistakes

    YOU DO

    Test real recovery scenarios and adapt setups to your specific systems and risk needs

  19. TASK 19SOURCE-BACKED TASK

    Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies.

    AI DOES

    Generates code from prompts and fixes bugs

    YOU DO

    Design the solution and own quality

    About this analysis

    67% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  20. TASK 20SOURCE-BACKED TASK

    Test programs or databases, correct errors, and make necessary modifications.

    AI DOES

    Runs automated tests and flags common bugs

    YOU DO

    Decide which fixes matter most

    About this analysis

    57% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  21. TASK 21SOURCE-BACKED TASK

    Train users and answer questions.

    AI DOES

    Creates training materials and answers common questions

    YOU DO

    Read learners and adapt on the spot

    About this analysis

    49% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  22. TASK 22SOURCE-BACKED TASK

    Map data between source systems, data warehouses, and data marts.

    AI DOES

    Generates mapping rules and transforms data formats

    YOU DO

    Validate business logic and data quality

    About this analysis

    47% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  23. TASK 23SOURCE-BACKED TASK

    Develop and implement data extraction procedures from other systems, such as administration, billing, or claims.

    AI DOES

    Writes extraction scripts and maps data fields

    YOU DO

    Design the logic and validate results

    About this analysis

    43% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  24. TASK 24SOURCE-BACKED TASK

    Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.

    AI DOES

    Generates database schemas and basic interface code

    YOU DO

    Design for real user needs and performance

    About this analysis

    42% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  25. TASK 25SOURCE-BACKED TASK

    Develop data warehouse process models, including sourcing, loading, transformation, and extraction.

    AI DOES

    Generates ETL code and suggests data flow patterns

    YOU DO

    Design the architecture and business rules

    About this analysis

    41% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  26. TASK 26SOURCE-BACKED TASK

    Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.

    AI DOES

    Generates initial diagrams and metadata templates

    YOU DO

    Define what relationships actually matter

    About this analysis

    38% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  27. TASK 27SOURCE-BACKED TASK

    Develop data models for applications, metadata tables, views or related database structures.

    AI DOES

    Generates schema templates and suggests table structures

    YOU DO

    Design for performance and business needs

    About this analysis

    35% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  28. TASK 28SOURCE-BACKED TASK

    Design and implement warehouse database structures.

    AI DOES

    Generates schema templates and suggests table relationships

    YOU DO

    Design for real business needs

    About this analysis

    34% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  29. TASK 29SOURCE-BACKED TASK

    Develop or maintain archived procedures, procedural codes, or queries for applications.

    AI DOES

    Generates code templates and suggests query optimizations

    YOU DO

    Design the logic and test thoroughly

    About this analysis

    34% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  30. TASK 30SOURCE-BACKED TASK

    Prepare functional or technical documentation for data warehouses.

    AI DOES

    Generates documentation templates and technical specs

    YOU DO

    Ensure clarity and user needs

    About this analysis

    32% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  31. TASK 31SOURCE-BACKED TASK

    Design, implement, or operate comprehensive data warehouse systems to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements.

    AI DOES

    Generates schema designs and optimizes query performance

    YOU DO

    Balance trade-offs for each customer's needs

    About this analysis

    31% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  32. TASK 32SOURCE-BACKED TASK

    Develop and document database architectures.

    AI DOES

    Suggests schemas and generates documentation templates

    YOU DO

    Design for real business needs

    About this analysis

    30% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  33. TASK 33SOURCE-BACKED TASK

    Implement business rules via stored procedures, middleware, or other technologies.

    AI DOES

    Generates code templates and suggests rule logic

    YOU DO

    Design the architecture and business flow

    About this analysis

    28% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  34. TASK 34SOURCE-BACKED TASK

    Document and communicate database schemas, using accepted notations.

    AI DOES

    Generates schema diagrams and documentation drafts

    YOU DO

    Ensure clarity for your specific audience

    About this analysis

    26% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  35. TASK 35SOURCE-BACKED TASK

    Identify, evaluate and recommend hardware or software technologies to achieve desired database performance.

    AI DOES

    Scans options and suggests performance improvements

    YOU DO

    Decide what fits your real needs

    About this analysis

    26% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  36. TASK 36SOURCE-BACKED TASK

    Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.

    AI DOES

    Suggests schemas and optimization patterns

    YOU DO

    Choose what fits the business reality

    About this analysis

    25% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  37. TASK 37SOURCE-BACKED TASK

    Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.

    AI DOES

    Gathers requirements and maps stakeholder perspectives

    YOU DO

    Bridge different viewpoints into shared vision

    About this analysis

    22% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  38. TASK 38SOURCE-BACKED TASK

    Provide or coordinate troubleshooting support for data warehouses.

    AI DOES

    Diagnoses common issues and suggests solutions

    YOU DO

    Prioritize fixes and guide the team

    About this analysis

    22% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  39. TASK 39SOURCE-BACKED TASK

    Create and enforce database development standards.

    AI DOES

    Suggests standards and checks code compliance

    YOU DO

    Set priorities and handle exceptions

    About this analysis

    21% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  40. TASK 40SOURCE-BACKED TASK

    Demonstrate database technical functionality, such as performance, security and reliability.

    AI DOES

    Generates test scripts and monitors performance metrics

    YOU DO

    Interpret results and explain business impact

    About this analysis

    18% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  41. TASK 41SOURCE-BACKED TASK

    Perform system analysis, data analysis or programming, using a variety of computer languages and procedures.

    AI DOES

    Generates code snippets and suggests debugging fixes

    YOU DO

    Design the system and choose the approach

    About this analysis

    17% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  42. TASK 42SOURCE-BACKED TASK

    Develop or maintain standards, such as organization, structure, or nomenclature, for the design of data warehouse elements, such as data architectures, models, tools, and databases.

    AI DOES

    Suggests patterns and flags inconsistencies in schemas

    YOU DO

    Set the vision and business rules

    About this analysis

    0% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  43. TASK 43SOURCE-BACKED TASK

    Create or implement metadata processes and frameworks.

    AI DOES

    Suggests metadata schemas and generates sample tags

    YOU DO

    Design the framework for your goals

    About this analysis

    0% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

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Data sources and attribution

This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. rtwoai has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.

Wage and employment figures are from the U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (2025). Job outlook is from the BLS Employment Projections program, 2024–34. BLS data are in the public domain. BLS has not reviewed or endorsed this page.

Task collaboration data is from the Anthropic Economic Index, release 2025-03-27, used under the CC BY 4.0 license. Anthropic has not reviewed or endorsed this page.

How we describe AI use in each task is our own characterization, not a measurement of whether AI can replace this job. Microsoft note that their metrics "should not be misconstrued or misrepresented as measuring the ability of AI to replace jobs," and that there is more to an occupation than the sum of its tasks.