11/06/2026 updated
100 % available
Enterprise Data & AI Architect
Oegstgeest, Netherlands
Spain +2
Bachelor's in computer systems engineeringinfo: Spain, Belgium, Netherlands
About me
Enterprise Data & AI Architect with strong experience designing scalable data and AI platforms. I translate strategy into target architectures, governance models, and delivery roadmaps, combining cloud-native, MLOps, and enterprise alignment to drive measurable business impact.
Amazon Web ServicesArchitectural DesignMicrosoft AzureBusiness IntelligenceBig DataCloud EngineeringDatabasesData ArchitectureExtract Transform Load (ETL)Data TransformationData ModelingData SystemData WarehousingEnterprise ArchitectureMicrosoft SQL Servers
1. Enterprise & Solution Architecture
I define target-state architectures aligned with business capabilities. This includes:
Capability mapping and operating model definition
Architecture governance frameworks
Reference architectures and blueprinting
Cross-domain alignment (business–data–application–technology)
Strategic roadmaps with measurable outcomes
I am comfortable working at board-level abstraction while maintaining structural technical rigor.
2. Data Platform ArchitectureI design scalable, cloud-native data ecosystems with strong governance foundations:
Data Fabric and Data Mesh concepts
Metadata, lineage, and catalog strategy
Data quality enforcement and stewardship models
Data ownership and classification frameworks
Secure access models (RBAC, policy-based controls)
Lakehouse and distributed data architectures
I think structurally about data as an enterprise asset, not just pipelines.
3. AI & MLOps ArchitectureI operate beyond experimentation and focus on production-grade AI systems:
End-to-end AI platform layering (Dev, Train, Deploy, Monitor, Govern)
Model registry, lineage, and lifecycle orchestration
CI/CD for models and infrastructure
Monitoring, drift detection, and GenAI observability
Guardrails and policy enforcement at inference time
Ethical, compliance, and explainability controls
I design AI systems that are auditable, scalable, and business-aligned.
4. Governance & Risk ControlI embed governance by design:
Policy-as-Code concepts
Regulatory alignment (GDPR-aware design patterns)
Role mapping and accountability frameworks
Data and model traceability
Risk-based architecture decisions
I understand that innovation without governance collapses at scale.
5. Cloud-Native & Infrastructure CompetenceI am experienced in:
Infrastructure as Code
Containerized environments
API-driven architectures
Distributed compute and storage models
Environment isolation and scaling strategies
I architecture thinking includes reliability, cost optimization, and operational sustainability.
6. Business & Value AlignmentI do not design technology in isolation. You consistently:
Map AI initiatives to KPIs
Track ROI and strategic impact
Align architecture with transformation programs
Bridge executive stakeholders and engineering teams
i translate complexity into structured decisions.
7. Analytical & Structural ThinkingI cognitive strength lies in:
System modeling
Structural decomposition
Long-horizon strategic thinking
Identifying architectural blind spots
Designing reusable frameworks rather than one-off solutions
I prefer rigor over improvisation.
In summaryI am not just a technologist.
I am a systems architect who designs platforms, governance, and execution structures that allow AI and data to operate sustainably at enterprise scale.
My differentiation lies in the integration of:
Technical depth
Structural clarity
Governance discipline
Strategic alignment
Execution realism
Experience
Professional experience10+ years
Freelancer since2022
Languages
GermanBasic knowledgeEnglishFluentPortugueseFluentSpanishNative speaker
Project history
Data Solutions Architect role at Shell Netherlands
Business Intelligence Solutions Architect role at Athlon Car Lease International Netherlands
Technical Business Analyst role in UK