• System Architecture: Design scalable near-real-time data streams, integrating data from multiple sources into analytics pipelines and relational databases. • Data Management and Access Optimization: Improve robustness and performance of our SQL DB setup to facilitate high performance inserts of our data streams and API reads for our customers • Data Visualization: Ensure vast quantities of geospatial and tabular data are visually explorable in a reproducible, performant format. • Accelerate Development: Utilize AI coding agents to assist in the Software Development Life Cycle (SDLC) and help establish best practices for agentic workflows. • Cross-Functional Support: Work alongside software engineers and data scientists, providing programming and infrastructure support for MLOps and data science initiatives. • Technical Direction: Help shape our engineering direction by implementing robust data management practices and staying current on emerging technologies in data processing. • Ensure Code Quality: Refactor, profile, and optimize codebases. Implement rigorous integration testing, debugging, and deployment automation for cloud microservices.