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

As AI and data products become business-critical, enterprises face a metadata crisis:

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-browsable 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

DataHub is an equal opportunity employer committed to workplace diversity and inclusion. We provide equal employment opportunities to all employees and applicants without regard to race, religious creed, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, military and veteran status, or any other characteristic protected by federal, state, or local law.

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

We offer salaries that reflect your skills, experience, and the impact you make. You bring value—we make sure you're recognized for it.

Equity for everyone

Every team member receives an ownership stake in the company. When we grow, you grow with us.

Remote Work

All roles are remote unless otherwise specified in the job description. Review the job description to confirm if the role you are interested in is remote or hybrid.

Location flexibility

Home office, coworking space, or something in between? We support your ideal setup. You’ll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time.

Comprehensive health coverage

Your well-being matters. We cover 99% of medical, dental, and vision premiums employees, and 65% for dependents.

Flexible savings accounts

We offer FSAs to help cover planned or unexpected healthcare costs. You can also opt into a Dependent Care FSA to support family needs.

Support for every path to parenthood

Through Carrot Fertility, we provide inclusive fertility benefits and family-forming support. All U.S. employees have access, regardless of age, gender identity, or family structure.

Time off that works for you

We trust you to take the time you need. Our unlimited PTO and sick leave policy is 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!

Senior Platform Engineer

About the role

Full job description