Principal/Senior Data Architect

<ul><li>Own the end-to-end data architecture, from ingestion and streaminf through the lakehouse to analytics and BI.</li></ul><ul><li>Define data modelling standards, table partitioning and layout stategy, and schema-evolution and migration practices.</li></ul><ul><li>Set governance, data-contract, lineage, and data quality standards across data domains.</li></ul><ul><li>Stay hands-on: protoripe pipelines, tune analytical queries, and buid reference implementations the team follows.</li></ul><ul><li>Hands-on DBA experience is required for this role, including database perdormance, tuning, query optimalization, indexing, partitioning, capacity planning.</li></ul><h2>Requirements</h2><ul><li>BSc or MSc degree in an IT field.</li></ul><ul><li>7+years in data engineering or architecture, including designing lakehouse or large-scale analytical (OLAP/MPP) architectures.</li></ul><ul><li>Experience with open table formats (e.g. Apache Iceberg) and modern columnar analytics engines.</li></ul><ul><li>Expert SQL and strong Data modeling skills (dimensional and analytical/wide-table).</li></ul><ul><li>Hands-on experience with distributed data processing and/or streaming, and with running data systems on Kubernetes.</li></ul><ul>
<li>Demonstrated technical leadership of data team or major initiative.</li>
<li>English/hungarian language skills.</li>
</ul><h2>Advantages</h2><ul>
<li>Hybrid or on-premises experience and capacity/cost planning at large scale.</li>
<li>Background in AdTech, MarTech, or other high volume analytics businesses.</li>
<li>Familiar with geographic data systems and spacial indexing technologies (e.g., H3, Geohash).</li>
</ul><h2>Benefits</h2><ul>
<li>Global collaboration with diverse teams.</li>
<li>A team of great engineers.</li>
<li>Cafeteria.</li>
</ul>