Data is the oxygen for AI.
Yet, providing secure, governed data access to AI agents, applications, and users is overly complex today.
Monda's AI data platform lets anyone easily ship AI data analysts for conversational analytics and share AI-ready data to any destination without coding — powered by Snowflake's AI Data Cloud.
Engineer the data backbone of the AI economy: We're looking for an individual contributor (IC) with proven experience in designing and building secure, high-scale data platforms.
You've worked with a heterogeneous cloud data architecture supporting both structured and unstructured data sources.
In addition, you have deep expertise in automated data pipeline orchestration and data observability.
Preferrably, you already released AI data agents in production systems for users, creating measurable customer value.
TL;DR: Salary range from €90-110K, work location Berlin, start date from Oct 1, 2026.
Tasks You'll take ownership to build, architect, and innovate on our AI Data Platform: Build: Maintain and develop our high-scale data product platform, running close to 400K data pipeline jobs per month at petabyte scale Architect: Design and improve our cross-cloud data architecture and infrastructure to ensure high-scalability, low-latency, and cost-efficiency Innovate: Implement AI-driven features and AI data agents that support customers in creating & exposing semantically-rich, AI-ready data products (e.
AI Data Agents: Experience building agents,.