Enterprise Solution Architecture
End-to-end architectures that survive contact with real organisations, budgets and regulators.
Architecting the Future of Data & AI
Solutions Architect at Databricks | Part-Time Lecturer at HSLU | Enterprise Data & AI Strategy Leader
- Databricks
- Solutions Architect
- HSLU
- Lecturer
- Cloudera
- Alumni
- 20+ Years
- Tech Leadership
About
Enterprise architecture, translated into business value
20+ years designing enterprise architectures and cloud data platforms across AWS, Azure and GCP — from Lakehouse foundations to production AI. I work equally comfortably with developers debugging Spark jobs and with CxOs deciding where the next franc of platform budget goes.
Lakehouse & Big Data Platforms
Spark, Delta and streaming platforms designed for scale, governance and cost control.
GenAI & LLMs
From retrieval architectures to production guardrails — AI that ships, not slideware.
Multi-Cloud Experience
Hands-on architecture and delivery across AWS, Microsoft Azure and Google Cloud Platform.
Academic Teaching
CAS lecturer at HSLU, translating industry practice into curriculum for the next generation.
Value Proposition & Strategy
Framing technical decisions in business value, from developer standups to CxO boardrooms.
Experience
Where I've built and advised
A career spent close to both the platform and the boardroom.
- May 2020 – Present
Databricks
Solutions Architect · Zurich, Switzerland
- Educate and advise Central European customers on Data + AI and Lakehouse architectures.
- Lead technical account management for major Swiss accounts.
- Drive thought leadership for data engineering and data science platform architecture.
- March 2024 – Present
Lucerne University of Applied Sciences and Arts (HSLU)
Dozent / Lecturer · Lucerne, Switzerland
- Lecturer for CAS modules: Business Intelligence & Analytics, Data Engineering, Applied Data Science.
- Oct 2015 – April 2020
Cloudera
Solutions Engineer · Zurich, Switzerland
- Advised large enterprises on end-to-end data architectures and open-source data science.
- Guided cloud migration programmes across AWS, GCP and Azure.
Academic
Education & certifications
Engineering foundation, business school rigour, and a formal architecture practice.
MBA – Master of Business Administration
FOM Munich
Best in class honors 'A'. Thesis: CRM 2.0.
Dipl.-Ing. (FH) Techn. Informatik / Computer Science
FH Bingen
Technical computer science, engineering diploma.
TOGAF 9.1 Certified
The Open Group
Certified Enterprise Architect.
Languages
German & English
German (Native), English (Fluent — TOEIC Gold 975/990).
Tech Stack
Skills & technologies
The toolkit behind the architectures — grouped the way I use it.
//Lakehouse Architecture
//Generative AI / LLMs
//Apache Spark
//Big Data (Hadoop)
//Data Warehousing
//ETL / ELT
Insights
Writing on data, AI and architecture
Field notes from enterprise engagements and the lecture hall.
Lakehouse
1 min read AI-generated
The Evolution of Data Architectures: From Data Warehouses to Lakehouse
Thirty years of enterprise data architecture in one arc — why the Lakehouse is a consolidation, not a fashion.
14 July 2026Teaching
1 min read AI-generated
Bridging the Gap: Teaching Data Engineering to the Next Generation at HSLU
What changes when you have to explain distributed systems to experienced professionals who will apply it on Monday.
28 May 2026Data & AI
1 min read AI-generated
Navigating Enterprise AI: Beyond the Hype to Business Value
A pragmatic framework for choosing which AI initiatives deserve a production budget — and which stay demos.
9 April 2026Contact
Let's talk architecture
Advisory, guest lectures, panels or a second opinion on your data platform roadmap.