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.