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 Systems & Data Platform)
Builds
Scalable lakehouse, Python-based API services, relational database schemas, and CI/CD pipelines.
Domain
Cloud-native data engineering, FinOps, and enterprise SaaS.
Deliverable
production ML models
Required skills
Python (FastAPI), PostgreSQL, Terraform, AWS (ECS/Fargate, RDS, S3), CI/CD (GitHub Actions), distributed systems, observability, LLM-based 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 of scalable cloud-native backend systems; Design and optimize relational database schemas; Build and own Python-based API services; Drive technical strategy for reliability and cost efficiency; Own complex backend initiatives end-to-end; Maintain CI/CD pipelines; Debug across system boundaries; Mentor senior and junior engineers
Seniority
Staff, hands-on IC with mentorship