The Data Architect role today
This guide draws on 436 Data Architect postings from 256 companies, published from March to September 2026.
In 3% of Data Architect postings, building or applying AI is the job itself.
MLOps appears in 17% of Data Architect postings, and MLOps Fundamentals in 7%.
Automation exposure averages 38 out of 100 across these postings, which is moderate: parts of the routine work can be automated, which makes AI skills more valuable in the role.
Senior positions make up 60% of postings, entry-level 14%. The most common way of working is hybrid, in 57% of postings.
Common skill gaps
The AI skills our analysis of Data Architect job descriptions most often flags as a gap, with the share of postings where each one comes up.
- AI Governance Frameworks62%
- MLOps Fundamentals34%
- Vector Database Design21%
- AI Data Pipelines19%
- Vector Database Management19%
- LLM Integration Patterns16%
Data Architect salary
Pay comes only from postings that quote it: 28 of the 436 Data Architect postings. Each country uses the pay period its employers quote most.
Netherlands
based on 28 postings quoting pay per month€7,400
median per month
The middle half of advertised salaries, with the line at the median.
Essential Data Architect skills
The skills employers ask for in Data Architect job descriptions, from the most requested down.
Core skills
- Data Governance
- Data Architecture
Often requested
- Cloud Data Platforms
- Data Modeling
- MLOps
Also valued
- Metadata Management
- Data Modelling
- SQL
- Python
- MLOps Fundamentals
AI skills to learn next
The AI skills employers most often want to add to this role, beyond the ones above.
- AI Governance
- Vector Databases
- AI Data Architecture
How the Data Architect role is evolving
The directions employers are taking this role as they adopt AI, with the skills and responsibilities each one adds.
Most common direction
Toward data & machine learning
Typical focus
AI & analytics
New responsibilities
- Design and optimize data pipelines for AI/ML model training and inference
- Design and optimize data architectures for AI/ML workloads, including feature stores and vector databases
- Design and implement MLOps pipelines for model training, deployment, and monitoring
- Establish governance and lineage for AI training data and model outputs
Other directions
Toward AI transformation
Skills to add
- AI Strategy
- Change Management
- AI Adoption Frameworks
- AI Change Management
- Change Management for AI
New responsibilities
- Develop roadmaps for integrating AI capabilities into existing data ecosystems
- Develop and execute AI adoption roadmaps in collaboration with business units
- Identify and prioritize AI use cases that leverage enterprise data assets
- Lead AI readiness assessments and develop AI adoption roadmaps for clients
Toward AI governance
Typical focus
AI governance & compliance
Skills to add
- AI Risk Management
- AI Compliance
- AI Ethics
- AI Regulatory Compliance
- Responsible AI Principles
New responsibilities
- Conduct AI risk assessments and ensure compliance with emerging AI regulations
- Ensure compliance with AI regulations (e.g., EU AI Act) in data architecture
- Develop and enforce AI data governance policies and standards
- Conduct AI data risk assessments and mitigation planning
Toward AI engineering
Skills to add
- AI Security
- Prompt Engineering
- Multi Agent Orchestration
- LLM Architecture
New responsibilities
- Lead the design and implementation of multi-agent orchestration frameworks for enterprise clients
- Architect and oversee the deployment of LLM-based applications and AI agents
- Architect and oversee the integration of AI models into the data platform
- Architect orchestration layers for AI agents that interact with lab data
Data Architect FAQ
Will AI replace Data Architect jobs?
Automation exposure averages 38 out of 100 across these postings, which is moderate: parts of the routine work can be automated, which makes AI skills more valuable in the role. Employers are mostly reshaping the role toward data & machine learning, adding skills such as MLOps and AI Governance.
What skills do Data Architect roles require?
The skills employers ask for most are Data Governance, Data Architecture, Cloud Data Platforms, Data Modeling and MLOps.
Which AI skills should Data Architect candidates learn next?
MLOps, AI Governance and AI Governance Frameworks are the AI skills employers most often want to add. The most common skill gaps are AI Governance Frameworks and MLOps Fundamentals.
How is the Data Architect role changing?
The most common direction is data & machine learning. Other directions include AI transformation, AI governance and AI engineering.
How much do Data Architect roles pay in the Netherlands?
Advertised salaries typically range from €6,200 to €8,000 per month, with the median around €7,400, based on 28 postings that quote pay per month.
Find your next Data Architect role
Browse open AI roles, updated daily.
This guide is built from public job descriptions for Data Architect roles classified as Core AI or AI-enabled. Skills, automation exposure and career directions are extracted from each job description and compared across the market. Postings are deduplicated, so a job listed on several boards or by several agencies counts once. Salaries are advertised ranges from the Netherlands, taken only from the 28 postings that quote pay. How we collect and deduplicate postings.