Principal Software Engineer, Data Processing

📋 Description Define architecture across ingestion, processing, storage, serving, governance, and observability Set multi-platform technical strategy along with the sequencing that makes it achievable rather Remain hands-on where it counts: critical designs, prototypes, deep reviews, and the worst Resolve technical disagreements that span teams and write down the decision and it's reasoning so Establish architecture governance that engineers experience as a useful framework. Raise the technical bar of the IDC through hiring, interview calibration, and mentoring of Senior 🎯 Requirements Bachelor's degree in Computer Science, Software Engineering, a related technical field, or 10 to 16 or more years of professional software engineering experience, with eight considered Architecture ownership across multiple teams or platforms, with results that are demonstrably Deep expertise in large-scale distributed data systems across the full lifecycle, from ingestion Continuing hands-on practice: you still write code and review designs in detail. This is an IC Evidence of technical strategy that was adopted and executed, not only proposed.