Staff-Data Engineer
Core
Architecting and optimizing big data platforms and cloud-native backend systems to enable analytics, AI/ML, and product innovation at scale.
Role type
Staff Data Engineer (Backend & Data Platform)
Builds
Scalable lakehouse architectures, Python-based API services, and cloud-native backend systems.
Domain
Enterprise SaaS, FinOps, Cloud Infrastructure, Data Engineering
Deliverable
production ML models
Required skills
Python (FastAPI, PySpark), PostgreSQL, Terraform, AWS (ECS/Fargate, RDS, S3), CI/CD (GitHub Actions), Distributed Systems, Observability, LLM/Agent workflows
Preferred skills
Power BI Direct Lake, Mosaic AI, Databricks GenAI, Feature Store, Open-source Spark contributions
Technologies
Databricks, FastAPI, PostgreSQL, Terraform, GitHub Actions, AWS, PySpark
Responsibilities
Lead architecture and design of scalable cloud-native backend systems; Design and optimize relational database schemas and query performance; Own CI/CD pipelines and infrastructure provisioning; Debug issues across system boundaries from API to data pipeline; Mentor senior and junior engineers; Drive technical strategy for reliability and cost efficiency.
Seniority
Staff, hands-on IC with strategic influence
