Senior Data Platform Engineer

About the role

The Senior Data Platform Engineer will own and evolve SentiLink’s data infrastructure that powers its fraud detection products. Working remotely from the US, the engineer will design, build, and operate scalable data pipelines, storage, and observability, collaborate with product, engineering, and data science teams, mentor junior staff, and contribute to engineering best practices.

About the company

SentiLink is a privately held fintech company that provides advanced identity and risk solutions to financial institutions, helping prevent synthetic fraud and identity theft. Founded in 2017, it has 51‑200 employees, $84M in funding (Series B), headquarters in San Francisco, and operates with a digital‑first, remote‑friendly culture.

Requirements

• 5+ years of experience in software engineering, data engineering or a related field
• Proficient in Python or Go and related technologies/frameworks
• Expertise building and maintaining large‑scale ETL/ELT pipelines using distributed processing technologies such as Spark, Hadoop, Kafka or similar
• Hands‑on experience with public cloud platforms (AWS, Azure, or GCP)
• Deep understanding of database technologies including PostgreSQL, OpenSearch, vector DBs, columnar stores, and experience writing efficient queries and optimization techniques
• Experience building enterprise‑grade, scalable, containerized data services on Kubernetes or similar platforms
• Working knowledge of Infrastructure‑as‑Code and DevOps practices
• Excellent analytical, problem‑solving, interpersonal skills and a sense of humor
• Self‑organized, able to work independently and handle ambiguity
• Experience working in a Scrum/Agile development environment
• Must be legally authorized to work in the United States and reside in the United States
• Bonus points for additional qualifications