Principal/Senior Data Architect

Own the end-to-end data architecture, from ingestion and streaminf through the lakehouse to analytics and BI. Define data modelling standards, table partitioning and layout stategy, and schema-evolution and migration practices. Set governance, data-contract, lineage, and data quality standards across data domains. Stay hands-on: protoripe pipelines, tune analytical queries, and buid reference implementations the team follows. Hands-on DBA experience is required for this role, including database perdormance, tuning, query optimalization, indexing, partitioning, capacity planning. Requirements

BSc or MSc degree in an IT field. 7+years in data engineering or architecture, including designing lakehouse or large-scale analytical (OLAP/MPP) architectures. Experience with open table formats (e.g. Apache Iceberg) and modern columnar analytics engines. Expert SQL and strong Data modeling skills (dimensional and analytical/wide-table). Hands-on experience with distributed data processing and/or streaming, and with running data systems on Kubernetes. Demonstrated technical leadership of data team or major initiative. English/hungarian language skills. Advantages

Hybrid or on-premises experience and capacity/cost planning at large scale. Background in AdTech, MarTech, or other high volume analytics businesses. Familiar with geographic data systems and spacial indexing technologies (e.g., H3, Geohash). Benefits

Global collaboration with diverse teams. A team of great engineers. Cafeteria.