Staff Data Platform Engineer

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and implementation of our next-generation data platform. In this high-impact role, you will be the catalyst that enables our partners and global teams to extract actionable insights with unprecedented speed and sustainability.

Responsibilities

Build and maintain scalable, high-performance data infrastructure designed to support both batch and real-time use cases for a wide variety of global stakeholders; Design and implement architectural solutions that drastically reduce friction in data access across the organization; Collaborate cross-functionally with Engineering, Data, and Product teams to align the platform with diverse technical requirements; Understand and integrate best security practices to ensure access compliance across all data assets; Troubleshoot and resolve complex issues in distributed data systems to ensure total data integrity; Architect and implement AI-driven diagnostic systems to autonomously identify, analyze, and resolve complex issues impacting data availability and platform health

Requirements

8+ years of experience in data infrastructure or backend software engineering with a "Data Fanatic" mindset; Strong expertise in cloud environments, container orchestration, and event streaming technologies for managing large-scale infrastructure; Strong experience with distributed data processing and OLAP technologies such as Spark, Trino, and ClickHouse; Ability to write clean, maintainable code in Python, GoLang, Java, Ruby, or C++; A "can-do" attitude with a proven track record of solving complex problems and taking initiative; Strong ability to work across teams to deliver high-quality, high-impact results; Expertise in building highly observable platforms using tools like Prometheus, Grafana, or Datadog to ensure deep visibility and proactive reliability of global systems

Nice to have

Expertise in Databricks/Snowflake; experience with GoLang or Scala; history of contributing to open-source data projects

Benefits

Unlimited PTO; Paid Holidays; Onsite Fitness Center; Company Paid Life Insurance; Casual Dress Code; Competitive Pay; Health, Vision, and Dental Insurance; 401(k) match