Opportunity Description
**Your role at Dynatrace**
The Data Engineer builds the foundation for everything else that sits on. Without clean, well-structured, timely data, there are no models to train, no experiments to run, and no products to ship. You design, build, and operate the pipelines, data platforms, and transformation layers that power the team's AI systems — and you do this at enterprise scale, not just in sandboxed environments. You have a track record of moving beyond PoC data work into hardened production infrastructure: systems that handle real data volumes, real failure modes, and real business SLAs. You treat data lineage, contracts, and observability as engineering requirements — not afterthoughts. Snowflake is your primary platform; you know it deeply, including Cortex. This role will report up into the VP of AI, Collaboration and Data's team.
Your role at Dynatrace:
+ Architect and operate Snowflake as the core data platform — including Snowpark for ML, Cortex LL...
The Data Engineer builds the foundation for everything else that sits on. Without clean, well-structured, timely data, there are no models to train, no experiments to run, and no products to ship. You design, build, and operate the pipelines, data platforms, and transformation layers that power the team's AI systems — and you do this at enterprise scale, not just in sandboxed environments. You have a track record of moving beyond PoC data work into hardened production infrastructure: systems that handle real data volumes, real failure modes, and real business SLAs. You treat data lineage, contracts, and observability as engineering requirements — not afterthoughts. Snowflake is your primary platform; you know it deeply, including Cortex. This role will report up into the VP of AI, Collaboration and Data's team.
Your role at Dynatrace:
+ Architect and operate Snowflake as the core data platform — including Snowpark for ML, Cortex LL...