Description

You will architect and manage enterprise-grade data platforms.

Responsibilities

• Design and build multi-zone Lakehouse architectures using Databricks.
• Implement data modeling for Customer 360 and Master Data Management (MDM).
• Optimize Spark jobs and manage Delta Lake internals.
• Ensure data quality and observability across platforms.

Required Skills

• 12+ years of experience in data engineering, cloud architecture, or analytics platforms.
• Expertise in AWS big-data stack and Databricks Lakehouse.
• Strong proficiency in Python and PySpark.
• Deep knowledge of Spark optimization and Delta Lake internals.
• Experience building enterprise-grade data platforms.
• Familiarity with Data Modeling for Customer 360 / MDM.
• Understanding of zero-trust security, compliance, and enterprise governance.
• Strong scripting and SQL skills.

Key Skills

Education

Any Gradute