Staff Engineer - Databricks
Core
Designing and overseeing scalable data platforms, building data pipelines, and implementing data models to support AI agents and enterprise analytics.
Role type
Staff Data Engineer (Databricks Lakehouse)
Builds
Scalable data platforms, data pipelines, and AI-ready data infrastructure for enterprise SaaS.
Domain
Enterprise SaaS, Data Engineering, AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Data architecture design, distributed compute systems, data orchestration, streaming infrastructure, system design for petabyte-scale data, AI data patterns, metadata management, cost optimization, Kubernetes, CI/CD, Infrastructure as Code, observability, Python, SQL, Java/Scala
Preferred skills
Experience with AWS, GCP, Snowflake, Airbyte, Airflow, Terraform
Responsibilities
Designing scalable data platforms, developing and optimizing data pipelines, resolving performance bottlenecks, implementing data security and compliance measures, evaluating emerging data technologies, troubleshooting complex data issues.
Seniority
Staff, hands-on IC with strategic influence