09/02/2026 updated
100 % available
Senior Data Platform Leader | Architecture, Delivery and Scalable Data Platforms
Leidschendam, Netherlands
Worldwide
Master of Science (Mathematics)About me
Senior Data Platform Leader and Cloud Architect with 35+ years in IT, 29 years in data and 15+ years in AWS. I design and deliver scalable data and cloud platforms, combining strategic architecture with hands-on engineering, IaC, CI/CD, automation, governance and AI.
Amazon S3Data ArchitectureData InfrastructureDisciplined Agile DeliverySolution ArchitectureAWS CDKModel-Driven ArchitectureAWS LambdaInfrastructure as Code (IaC)Data StrategyAWS GlueData PipelineAmazon Redshift
Data Platform Leadership and Architecture
Over 29 years of experience in enterprise data, delivering scalable data platforms and capabilities that align business needs, architecture, and execution. Design, implementation and operationalization of modern data environments in complex organizations across financial services, telecommunications, automotive and enterprise sectors.
Data Delivery and Engineering
Expertise in data pipelines, metadata-driven platforms, automation, CI/CD, DevOps and DataOps practices. Proven track record of improving data quality, consistency, and delivery speed by up to 85% through metadata-driven platform design and scalable engineering practices including IaC and automation.
Cloud Platform Design and Delivery
15 years of driving cloud adoption, guiding organizations toward secure, scalable, and cost-efficient data platforms. Design and delivery of cloud-based analytics platforms on AWS, including infrastructure provisioning, deployment automation, and governance for cloud platform delivery.
Data Governance and Quality
Expertise in data governance, data quality, master data concepts, metadata management, and regulatory alignment. Establishment of domain-oriented data architectures enabling enterprise data to be organized, governed and delivered as reusable data products.
Business and Platform Alignment
Translating business needs into data capabilities, platform roadmaps, and value-driven modernization. Partnering with senior stakeholders while remaining close to platform execution, converting business priorities into implementable architectures and scalable delivery models.
Operating Model and Team Leadership
Delivery models, team build-up, cross-functional collaboration, and change leadership. Building and managing delivery teams, ensuring quality execution, stakeholder alignment, and successful project outcomes.
Executive Stakeholder Engagement
C-level advisory, business-IT alignment, and platform investment prioritization. Trusted leader in establishing structured, repeatable, and measurable data platform delivery practices across complex environments.
AI-Powered Platform Development
Architecture and development of AI-powered compliance automation platforms, including globally scalable multi-tenant data architectures, AI-driven document processing capabilities, and automated data ingestion and validation across multiple sources.
Metadata-Driven Platform Frameworks
Design and operationalization of enterprise data platform frameworks such as DataZphere, codifying architectural, governance and delivery patterns derived from multiple enterprise-scale data platform implementations across various industries.
Over 29 years of experience in enterprise data, delivering scalable data platforms and capabilities that align business needs, architecture, and execution. Design, implementation and operationalization of modern data environments in complex organizations across financial services, telecommunications, automotive and enterprise sectors.
Data Delivery and Engineering
Expertise in data pipelines, metadata-driven platforms, automation, CI/CD, DevOps and DataOps practices. Proven track record of improving data quality, consistency, and delivery speed by up to 85% through metadata-driven platform design and scalable engineering practices including IaC and automation.
Cloud Platform Design and Delivery
15 years of driving cloud adoption, guiding organizations toward secure, scalable, and cost-efficient data platforms. Design and delivery of cloud-based analytics platforms on AWS, including infrastructure provisioning, deployment automation, and governance for cloud platform delivery.
Data Governance and Quality
Expertise in data governance, data quality, master data concepts, metadata management, and regulatory alignment. Establishment of domain-oriented data architectures enabling enterprise data to be organized, governed and delivered as reusable data products.
Business and Platform Alignment
Translating business needs into data capabilities, platform roadmaps, and value-driven modernization. Partnering with senior stakeholders while remaining close to platform execution, converting business priorities into implementable architectures and scalable delivery models.
Operating Model and Team Leadership
Delivery models, team build-up, cross-functional collaboration, and change leadership. Building and managing delivery teams, ensuring quality execution, stakeholder alignment, and successful project outcomes.
Executive Stakeholder Engagement
C-level advisory, business-IT alignment, and platform investment prioritization. Trusted leader in establishing structured, repeatable, and measurable data platform delivery practices across complex environments.
AI-Powered Platform Development
Architecture and development of AI-powered compliance automation platforms, including globally scalable multi-tenant data architectures, AI-driven document processing capabilities, and automated data ingestion and validation across multiple sources.
Metadata-Driven Platform Frameworks
Design and operationalization of enterprise data platform frameworks such as DataZphere, codifying architectural, governance and delivery patterns derived from multiple enterprise-scale data platform implementations across various industries.
Experience
Professional experience10+ years
Freelancer since2016
Languages
EnglishNative speaker
Project history
Designed and built VIPER, a suite of Python and AWS CDK libraries that standardizes infrastructure provisioning, deployment automation, and governance for AWS platform delivery. Engineered VIPER FANG, a configuration-driven framework generating production-ready AWS environments from declarative YAML. Built VIPER BITE, a CI/CD automation layer for build, test, and deployment pipelines across multi-account AWS architectures.
Led the architecture and development of a compliance automation platform, translating business requirements into a scalable solution delivered from concept to beta in 10 weeks. Defined a globally scalable multi-tenant data architecture and established AI-driven document processing capabilities, automating data ingestion and validation across multiple sources.
Built and shaped data platform capabilities by aligning business and technology stakeholders around scalable architecture, governance, and delivery practices. Designed and operationalized the DataZphere framework, codifying architecture, governance, and delivery patterns from 7 enterprise implementations. Architected and built an AI-powered compliance platform end-to-end. Established a repeatable data platform delivery model that reduced implementation timelines from 9-12 months to 4-6 weeks.