Senior Platform Engineer

About the Role

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.

Key Responsibilities

• Build scalable, fault-tolerant ingestion systems for enterprise-scale metadata
• Create clean, intuitive APIs for our connector ecosystem
• Design event-driven architectures for real-time metadata processing
• Implement schema mapping between diverse systems and DataHub's unified model
• Develop versioning systems for AI assets (training data, model weights, embeddings)

Required Qualifications

• 4+ years building production-grade distributed systems
• Advanced Python expertise with a focus on API design
• Experience with high-scale data processing or integration frameworks
• Strong systems knowledge and distributed architecture experience
• A track record of solving complex technical challenges

Benefits and Perks

Competitive compensation with equity for everyone. Comprehensive health coverage, flexible savings accounts, support for parenthood, unlimited PTO, and location flexibility with a monthly coworking stipend.