Backline Manager (Apache Spark™)
Databricks(11 months ago)
About this role
Databricks is looking for a senior engineering manager to lead its Backline Engineering Team, which supports and resolves complex technical issues for the company's data and AI platform. The role focuses on customer success, team development, and driving operational excellence through automation and collaboration with engineering and support teams.
Required Skills
- Apache Spark
- Databricks Runtime
- Delta Lake
- Hadoop
- AWS
- Azure
- GCP
- Automation
- Troubleshooting
- Monitoring
About Databricks
databricks.comDatabricks is a unified Data Intelligence Platform that helps organizations build, deploy, and manage data, analytics, and AI at scale. Built on Apache Spark and Delta Lake, it provides a “lakehouse” architecture that combines data engineering, ETL, data warehousing, streaming, and machine learning (including MLflow and feature store) in a single managed service. The platform includes collaborative notebooks, scalable compute across major clouds, and built‑in governance, security, and performance optimizations. Enterprises use Databricks to simplify data pipelines, accelerate model development with a data‑centric approach, and operationalize analytics and AI.
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