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).