06/17/2026 updated
100 % available
Data and Solutions Architect
Brno-střed, Czech Republic
Austria +1
Master in ITinfo: Austria, Czech Republic
Data LakehouseSql Data WarehouseData ArchitectureData GovernanceData IntegrationData WarehousingDatabase DesignEnterprise Architecture FrameworkData Access LayerDataOpsAzure Data LakeSolution ArchitectureAzure Data FactoryIT ArchitectureMicrosoft Fabric
An accomplished Enterprise & Data Architect with over a decade of experience in data architecture, governance, and integration. I specialise in target-state architectures, architecture roadmaps and standards that align IT initiatives with business strategy. My expertise spans conceptual, logical and physical data modelling, MDM, reference and metadata management, data quality, lineage and cataloguing, and the design of enterprise analytics platforms built around lakehouse and modern data warehouse patterns on Azure, Microsoft Fabric, Databricks and Snowflake.
I am recognised for analytical thinking and clear communication, bridging technical teams and business stakeholders to ensure alignment between architecture decisions, governance objectives and business goals. I have hands-on experience designing data governance frameworks – data ownership, stewardship, data quality, lineage and cataloguing – and operating them on tooling such as Microsoft Purview, Collibra and Informatica. My delivery work covers ETL/ELT pipelines on Azure Data Factory and Databricks, advanced SQL, and practical Python for data processing and automation.
I work fluently across regulated environments, embedding security, compliance, GDPR and risk considerations into architecture and governance decisions, and increasingly designing for AI and data readiness so that organisations can adopt advanced analytics and AI safely on top of governed, well-modelled data.
Languages
EnglishFluentCzechNative speaker
Project history
- Designed enterprise data architectures leveraging Microsoft Fabric, Azure, and Databricks, adapting to diverse client technology stacks.
- Led data governance initiatives, introducing data quality frameworks and data ownership models to enhance data reliability and accountability.
- Engaged in stakeholder management, collaborating with business and IT leaders to align data strategies with enterprise goals.
- Contributed to business growth by supporting presales efforts, leading to the acquisition of multiple new clients.
- Responsibility for solutions architecture of MDM and RDM platforms across the whole enterprise
- Cover end to end delivery of the projects incl. planning, estimates, scrum, design and architecture, implementation, and QA
- Responsibility for data architecture of a data layer of a pricing application
- Responsibility for a migration of legacy architecture to AWS (Glue, Redshift, S3, Lambda)
- Combining data lake architecture with operational master data
- Acting delivery leader of data squads