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Enterprise Databricks Solutions Engineer
2 weeks ago
We are seeking an experienced professional to lead our enterprise Databricks environment, overseeing its architecture, administration, and optimization.
The ideal candidate will serve as the subject matter expert for our Databricks platform, designing best practices and governance across the organization.
Key Responsibilities:- Design and implement large-scale Databricks environments for enterprise-wide data usage.
- Define workspace strategy, including design, configuration, and organization for multi-team and multi-project usage.
- Establish best practices for data ingestion, transformation, and consumption using Databricks.
- Administer and optimize the Azure Databricks platform (clusters, pools, compute policies).
- Set up and manage Unity Catalog, including access control, catalog/schema security, and governance for sensitive data.
- Create and enforce cluster management policies, workspace permissions, and environment segregation.
- Monitor platform health, usage, and costs; implement scaling and tuning strategies.
- Collaborate with cloud infrastructure, networking, and security teams to ensure Databricks integrates with enterprise systems and policies.
- Support data engineers, data scientists, and analytics teams by enabling seamless deployment of applications and pipelines on Databricks.
- Act as the primary technical advisor and escalation point for Databricks-related issues.
- 7+ years of relevant experience in data engineering, cloud data platforms, or similar roles.
- Proven track record of Databricks administration and architecture.
- Experience in managing large-scale Databricks environments.
- Deep expertise in Azure Databricks, Unity Catalog, and Delta Lake.
- Strong knowledge of cluster configuration, compute policies, and workspace design.
- Familiarity with Azure ecosystem (Azure Data Lake, Key Vault, Azure Active Directory).
- Understanding of data governance, security policies, and compliance standards.