Staff Engineer — Data Platform

📋 Description Define end-to-end data platform architecture and initiatives. Lead scalable, low-latency data pipelines for real-time payments. Drive AI-first engineering with automated data quality and testing. Mentor engineers; establish reviews and standards. Partner with Product, AI, and Finance to translate needs into data solutions. Ensure data security and compliance (PCI-DSS, GDPR). 🎯 Requirements 8+ years in data/software eng with staff/principal level. Large-scale data platforms design (streaming/batch/hybrid). Hands-on with Spark, Flink, Kafka, StarRocks, or equivalent. Strong Python and SQL; multi-language proficiency. Data modeling: dimensional, Data Vault, or lakehouse. Cloud infra (AWS/GCP/Azure) with data quality and observability. 🎁 Benefits Competitive compensation. Remote work – you can work from everywhere. Home office bonus – one-time allowance. Work equipment. Stock options. Health plan wherever you are.