Manager, Data Engineering Operations
United States, United States
R
USD 110K-130K (estimate) Mid-level Full Time
Tasks
- Define operational standards runbooks and on-call practices
- Drive reliability performance and cost optimization initiatives
- Implement engineering best practices observability and documentation
- Lead data operations team
- Maintain operational KPIs and reporting
- Manage Databricks workflows and job orchestration
- Manage reliability performance and scalability of data platform
- Own operational health of Databricks-based pipelines
- Partner on platform governance architecture and integrations
- Perform incident management and root cause analysis
- Set technical direction for data platform
Perks/Benefits
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Event | Azure Event Hubs | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Lineage | Data Modeling | Databricks | Delta Lake | ETL | Event Hubs | Incident Management | Lakehouse Architecture | Medallion Architecture | On-Call | Python | SQL | Unity Catalog
Education
N/A
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