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Occupation · 2026 assessment

Synthetic data Architect

The Synthetic data Architect role combines repeatable operations with decisions that require professional context. The index measures task exposure to AI, software automation and robotics—not the probability that the occupation disappears.

Low risk level Search jobs ↗
How risk may change

A forecast estimate, not a guaranteed scenario.

23%2026
29%2028
36%2030
46%2035

Which tasks are exposed

Risk applies to individual tasks—not to a person or an entire occupation.

TaskRisk
Generating solution-structure options41%
Checking constraints, compatibility and cost35%
Choosing trade-offs and owning system integrity12%
Generating routine code and configuration48%
Preparing tests and technical documentation44%
Classifying errors and analyzing logs38%
Data migrations and routine integrations38%
Architecture and technical trade-offs17%

Task map

AI replaces ↔ AI augments

Each task is positioned by AI capability and the degree of human involvement still required.

  1. 1Generating solution-structure optionsAI 41% · human 75%
  2. 2Checking constraints, compatibility and costAI 35% · human 81%
  3. 3Choosing trade-offs and owning system integrityAI 12% · human 82%
  4. 4Generating routine code and configurationAI 48% · human 72%
  5. 5Preparing tests and technical documentationAI 44% · human 82%
  6. 6Classifying errors and analyzing logsAI 38% · human 73%
  7. 7Data migrations and routine integrationsAI 38% · human 74%
  8. 8Architecture and technical trade-offsAI 17% · human 78%

Why technology can change this work

  • tools automate data preparation, experiments and parts of modelling
  • AI proposes system structures and checks standard constraints
  • code, configuration and documentation are already digital
  • routine code, tests and technical text can be generated automatically
  • many outputs can be checked with tests and static analysis

What protects the occupation

  • choosing the right objective, data and model-quality criteria
  • choosing trade-offs among cost, reliability, security and future change
  • a large share of value comes from human judgement, trust or personal accountability
  • architecture decisions and production accountability
  • understanding business constraints and legacy systems
  • security and complex system integration

United States · before tax

Average pay and outlook

Estimated nominal monthly pay. The scenario reflects sector, demand and task resilience; it is not a guarantee of income.

2026$14 050per month
2035$19 000scenario estimate
2026: $14 05020262027: $14 55020272028: $15 00020282029: $15 55020292030: $16 05020302031: $16 60020312032: $17 15020322033: $17 75020332034: $18 35020342035: $19 0002035
Find jobs ↗The partner link may contain referral parameters. Data benchmark: U.S. Bureau of Labor Statistics ↗

Practical next step

Where to move next

Do not restart from zero: carry your experience forward and add scarce skills.

AI Engineer

Established resilient role
New role risk13%
DemandHighDifficultyLowTime3–6 monthsSkill fit89%

Digital Twin Engineer

Emerging role
New role risk14%
DemandHighDifficultyMediumTime6–12 monthsSkill fit68%

AI Application Engineer

Established resilient role
New role risk19%
DemandHighDifficultyLowTime3–6 monthsSkill fit85%

AI Agent Supervisor

Emerging role
New role risk24%
DemandHighDifficultyLowTime3–6 monthsSkill fit83%

AI Evaluation Engineer

Emerging role
New role risk16%
DemandHighDifficultyLowTime3–6 monthsSkill fit81%

Data Analyst

Established resilient role
New role risk51%
DemandHighDifficultyLowTime3–6 monthsSkill fit81%

Job search and transitions

Find work with a lower risk index

Compare adjacent paths and open a current search for the selected occupation.

Skills you already have

  • data work
  • hypothesis testing
  • model-quality evaluation
  • architectural trade-offs
  • component integration
  • technical-debt management

Skills to build

  • AI-system evaluation
  • model-behavior monitoring
  • AI governance
  • AI-agent architecture
  • observability and resilience design
  • AI-agent-assisted development
CurrentSynthetic data Architect · 23%
→
Keepdata work · hypothesis testing · model-quality evaluation
→
AddAI-system evaluation · model-behavior monitoring · AI governance

Sources and update

Updated: 2026-09-25 · Assessment confidence: Medium

International Labour Organization · 2025Generative AI and Jobs: A Refined Global Index of Occupational Exposure

Nearly 30,000 tasks; a global assessment of GenAI exposure across detailed occupational groups.

World Economic Forum · 2025The Future of Jobs Report 2025

A survey of more than 1,000 employers representing over 14 million workers across 55 economies.

O*NET Resource Center · 2026O*NET Database

Occupational, task, skill and work-context structure.