In this role, you will:Architect and implement large-scale Python-based data pipelines that power Harmonic’s structured understanding of startups, people, and investments.Continue evolving our data extraction and reconciliation processes with dynamic agentsOwn data quality benchmarks across coverage, freshness, and accuracy, and identify new data sources and ingestion techniques that optimize for performance and quality.Work across the backend stack (databases, search indices and graphql APIs) to bring data to life in the product.Partner closely with AI/ML, Data Ops, and Product to hit quality and performance OKRs and ship new data products that directly drive revenue and user value. #J-18808-Ljbffr