Senior Platform Engineer

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. The Challenge No unified way to track the complex data supply chain feeding AI systems Engineering teams struggling with data discovery, lineage, and governance Organizations needing machine‑scale metadata management, not just human‑browseable catalogs Why This Matters This is where infrastructure meets impact. The metadata layer you'll build will directly power the next generation of AI systems at massive scale. Your code will determine how safely and effectively thousands of organizations deploy AI, affecting millions of users worldwide. The Role We're looking for an exceptional Python engineer to lead development of DataHub's ingestion framework – the core that connects diverse data systems and powers our metadata collection capabilities. You'll Build Scalable, fault‑tolerant ingestion systems for enterprise‑scale metadata Clean, intuitive APIs for our connector ecosystem Event‑driven architectures for real‑time metadata processing Schema mapping between diverse systems and DataHub's unified model Versioning systems for AI assets (training data, model weights, embeddings) You Have 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 Bonus Points Experience with DataHub or similar metadata/ETL frameworks (Airflow, Airbyte, dbt) Open‑source contributions Early‑stage startup experience Location and Compensation Bay Area (hybrid, 3 days in Palo Alto office). Salary Range: $225,000 to $300,000. Benefits and Perks We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long‑term growth. Competitive Compensation – salaries that reflect your skills, experience, and the impact you make Equity for everyone – every team member receives an ownership stake in the company Remote Work – all roles are remote unless otherwise specified Location flexibility – home office, coworking space, or something in between. Monthly coworking stipend provided Comprehensive health coverage – 99% of medical, dental, and vision premiums covered for employees; 65% for dependents Flexible savings accounts – FSAs for healthcare costs; optional Dependent Care FSA Support for every path to parenthood – inclusive fertility benefits via Carrot Fertility Time off that works for you – unlimited PTO and sick leave policy designed for flexibility, rest, and real life Why Join Us DataHub is at a rare inflection point: we’ve achieved product‑market fit, earned the trust of leading enterprises, and secured backing from top‑tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way. By joining our team, you’ll: Tackle high‑impact challenges at the heart of enterprise AI infrastructure Ship production systems that power real‑world use cases at global scale Collaborate with a high‑caliber team of builders who’ve scaled some of the most influential data tools in the world Build the next generation of AI‑native data systems, including conversational agents, intelligent classification, automated governance, and more If you're passionate about technology, enjoy working with customers, and want to be part of a fast‑growing company changing the industry, we want to hear from you! #J-18808-Ljbffr