About The Position
Within NVIDIA, our Financial Services Engineering (FSE) group’s mission is to architect the financial infrastructure powering NVIDIA Cloud Services, including GeForce Now, by owning the end-to-end monetization pipeline. We orchestrate seamless global payment capture and transform complex service usage into precise financial obligations, leveraging tax engines, financial ledgers, and compliant invoicing to ensure every customer transaction is accurate and frictionless across the globe. We are looking for a Senior Systems Data Engineer to join our Financial Systems Engineering team. This role involves building the foundational systems that support NVIDIA's high-performance financial infrastructure. This individual will play an important role in building scalable cloud services that integrate with diverse financial systems, enabling operational automation across global financial operations.
Requirements
- Bachelor’s degree (or equivalent experience); Master’s preferred.
- 12+ years of industry experience delivering scalable financial services.
- Expertise in building scalable REST APIs backed by PostgreSQL and proficiency in Python, Golang, Scala, or NodeJS.
- Hands-on experience architecting robust ETL/ELT pipelines using Databricks and dbt to manage large-scale Delta Lake or Apache Iceberg tables.
- Deep understanding of high-scale distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure) using container technologies like Docker and Kubernetes.
Nice To Haves
- Experience developing data ontology or semantic data layers that map disparate raw data into interconnected objects with defined properties and actionable functions.
- A track record of managing Financial/ERP data at internet scale, ensuring transactional integrity and zero data loss.
- An "Infrastructure as Code" mindset with specific experience building self-healing systems in distributed environments.
Responsibilities
- Architect event-driven pipelines (Kafka) and develop new data models that ensure transactional integrity (ACID) for commercial events like invoices, payments, and adjustments.
- Automate scalable ETL processes and refactor next-generation data architectures to improve quality, security, and coverage for rapidly growing business demands.
- Collaborate across teams to codify business processes into self-measuring systems, debugging complex challenges to ensure the reliability of financial operations.
Benefits
- competitive salaries
- generous benefits package
- equity
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What This Job Offers
Job Type
Full-time
Career Level
Senior
