2–5 years of experience in Databricks Administration / Big Data Platforms. Strong hands-on experience with Databricks (Workspace, Clusters, Jobs, Notebooks). Experience with Apache Spark (PySpark/Scala) and distributed data processing. Knowledge of cloud platforms (Azure preferred, AWS/GCP also acceptable). Experience with data storage systems like ADLS, S3, Blob Storage. Valuable understanding of data engineering concepts, ETL/ELT pipelines. Familiarity with security best practices (IAM roles, data encryption, private endpoints). Proficiency in SQL and scripting languages (Python, Shell, etc.). Experience in performance tuning and cost optimization for clusters and workloads.

• Experience: 2+ years in data platform engineering, particularly focusing on Databricks/Spark environments.
• 2+ years in AI/LLM/Agentic platform administration (enterprise-grade).
• Databricks Expertise: Robust, hands-on experience with Databricks Lakehouse architecture, Unity Catalog, Delta Live Tables (DLT), and Serverless SQL.
• Technical Proficiency: Proficiency in Python, PySpark, and Spark SQL.




• Cloud Platforms: Deep understanding of one or more major cloud providers (AWS, Azure, GCP) and associated services.
• Own administration of Databricks accounts and multi-workspace settings across SDLC.
• Define and enforce platform standards for clusters, jobs, SQL warehouses, runtimes, and workspace configurations.
• Lead Unity Catalog governance strategy including catalogs, schemas, permissions, and external locations.
• Design and oversee enterprise monitoring, alerting, compliance dashboards, and operational SLOs.
• Lead high-severity incident management, root-cause analysis, and preventive remediation.
• Establish and maintain security, audit, and regulatory compliance controls.
• Drive cost governance, capacity forecasting, and performance optimization across workloads.
• Define and lead Infrastructure-as-Code and automation strategy using Terraform, APIs, and CI/CD pipelines.
• Standar

📌 Databricks Administration Bengaluru (India)
🏢 Infosys
📍 India