Leads development of DataHub's ingestion framework, building scalable metadata systems, APIs, and event-driven architectures for enterprise AI and data platforms. Requires 4+ years in distributed systems and advanced Python expertise.
225k – 300k/yr
Hybrid4+ YOEDevOps / SRE
About the role
Responsibilities
Build scalable, fault-tolerant ingestion systems for enterprise-scale metadata
Develop clean, intuitive APIs for our connector ecosystem
Create 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)
Requirements
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
Nice-to-Haves
Experience with DataHub or similar metadata/ETL frameworks (Airflow, Airbyte, dbt)
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