Sr Databricks Admin

Responsible for end-to-end Databricks platform setup, enterprise architecture, automation, governance, security, and operations. Drive scalable platform solutions, operational excellence, and global delivery capabilities.

• Databricks platform setup, enterprise architecture, and cloud landing zones.
• Governance, security, IAM, and compliance standards.
• Infrastructure as Code (Terraform), platform automation, and self-service capabilities.
• CI/CD, DevOps, and multi-environment management (DEV / QA / PROD).
• Platform monitoring, operations, support, and incident management.
• Cost optimization, performance management, and resource utilization.
• Establish scalable Global Delivery (GD), nearshore operations, and managed services.
• Collaborate with SAP Datasphere, SAP BDC, and Databricks platform teams for integration.
• Own the complete platform lifecycle from setup through operations and continuous improvement.

• Grade 2/Grade 3
• 6-8 years of professional work experience in a relevant field.
• Experience in Databricks platform engineering and cloud architecture.
• Knowledge of Terraform, CI/CD, DevOps, governance, and security.
• Experience in platform operations, monitoring, and cost optimization.
• Understanding of SAP Datasphere, SAP BDC, and Databricks integration.
• Strong leadership, stakeholder management, and global delivery experience.
• SAP Datasphere, SAP BDC, and Databricks
• Proficiency in Databricks, including Delta Lake, Spark SQL.
• Strong programming skills in Python, Scala.
• Experience with Apache Spark for big data processing.
• Knowledge of SQL for querying and transforming data.
• Expertise in API development and integration (REST, GraphQL, SOAP, etc.), including authentication mechanisms (OAuth, API keys).
• Experience with data integration tools and techniques for connecting to third-party systems, CRMs, ERPs, or SaaS platforms.
• Proficiency in Power BI for creating data models, DAX queries, and interactive dashboards.
• Data Modeling: Understanding of dimensional modeling, data warehousing, and Lakehouse architecture.
• Problem-Solving: Strong analytical skills to address complex data, integration, and visualization challenges.
• Communication: Ability to translate technical concepts to non-technical stakeholders.
• Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).
• Microsoft Power BI certification (e.g., Microsoft Certified: Data Analyst Associate).
• Experience with real-time data processing and streaming (e.g., Kafka, Spark Streaming).
• Knowledge of machine learning pipelines and integration with Databricks MLflow.