• Conduct a thorough technical analysis of the client's current data architecture. • Evaluate stacks, identify gaps, and propose an evolution plan with best-practice recommendations. • Create an actionable roadmap to advance data maturity.

• Own the core Data warehouse platform, data ingestion and processing, ETL/ELT pipelines orchestration platform, data cataloging, data governance • Design, build, and operate data platform services (warehousing, orchestration, and catalogs) • Continuously enhance platform operations by improving monitoring, performance, reliability, and resource optimization • Design, build and maintain batch and streaming data ingestion framework to source the required data for analytical and operational needs • Be a domain expert in streaming processing, data pipelines, data warehousing and quality • Provide ML data platform capabilities for AI/Data Science teams to perform data preparation, model preparation and serving, and performance monitoring • Develop and maintain core services and libraries to enhance critical platform functionalities

• Collaborate with product managers and product designers to build great products • Coach and mentor software engineers • Review application code to ensure Great Minds is releasing high quality software • Evaluate, decide and implement technical architecture decisions and designs and communicate those decisions to others.

• Design, develop, and maintain a frontend generative AI web app (React/NextJS/Typescript) and related backend services (FastAPI/Python) • Develop and maintain RESTful APIs for seamless integration with frontend applications • Collaborate closely with machine learning engineers to translate prototypes into production-ready systems • Participate in all phases of the software development lifecycle, including design, implementation, testing, and deployment