Description

Key Responsibilities:

• Design and architect enterprise-grade Databricks and Lakehouse solutions.
• Lead data architecture, ingestion, transformation, and integration initiatives.
• Strong experience with Databricks, Apache Spark, PySpark, SQL, Delta Lake, and Unity Catalog .
• Design data pipelines using Azure/AWS cloud services and Databricks.
• Implement data governance, security, performance, and optimization best practices.
• Work with business and technical teams to define requirements and deliver scalable solutions.
• Provide technical leadership and mentor data engineering teams.

Required: 8+ years of data engineering/architecture experience with strong hands-on Databricks experience. Excellent communication and stakeholder management skills

Key Skills

Education

Any Graduate