Design, configure, and manage the Databricks platform, including workspace setup, cluster administration, job orchestration, and platform optimization. Establish platform standards, best practices, and reusable frameworks to support enterprise-scale data engineering and analytics workloads. Enable development teams through CI/CD automation, deployment standards, technical guidance, and platform support. Implement and manage security, governance, access controls, and Unity Catalog to ensure compliance with enterprise standards. Integrate Databricks with cloud environments, data lakes, BI tools, orchestration platforms, and enterprise applications. Monitor platform performance, reliability, utilization, and costs while driving automation and continuous improvement initiatives.

Mandatory Skills Education:

Bachelor s degree in Computer Science, Engineering, Data Science, or a related quantitative field. Mandatory Skills 5+ years of experience in Data Engineering, Platform Engineering, or Data Platform Administration . 3+ years of hands-on experience with Databricks administration, platform engineering, or architecture . Strong experience with Apache Spark , distributed data processing, and workload optimization. Experience with Azure Databricks and cloud platforms such as Azure, AWS, or Google Cloud Platform. Hands-on experience with Unity Catalog, RBAC, security, governance, and access management frameworks . Experience with CI/CD pipelines, Infrastructure as Code (Terraform), automation, and DevOps practices . Preferred Skills Experience with Delta Lake, Lakehouse Architecture, and modern enterprise data platforms . Knowledge of streaming and real-time data processing frameworks such as Structured Streaming, Kafka, or Event Hubs. Databricks and cloud platform certifications ( Databricks Certified Professional, Azure Data Engineer, or Azure Solutions Architect ) and experience supporting large-scale enterprise data platforms. Nice-to-Have Skills Experience with Delta Lake, Lakehouse architecture, and modern data platform implementations . Knowledge of streaming frameworks such as Structured Streaming or Kafka. Databricks, Azure, or cloud platform certifications