Responsibilities

• Design and implement Databricks-based data architectures to meet business requirements.
• Develop and optimize data pipelines using PySpark, Scala, or SQL.
• Establish the Databricks Lakehouse architecture for batch and streaming data.
• Collaborate with cross-functional teams to integrate Databricks with cloud platforms (e.g., AWS, Azure, GCP).
• Ensure data security and compliance with best practices.
• Monitor and troubleshoot Databricks environments for performance and reliability.
• Collaborated with sales teams to support presales activities
• Supported presales activities, including solution design and customer discussions
• Stay updated on Databricks advancements and industry trends.

Key Technical Skills & Responsibilities

• 12+ years of experience in data engineering using Databricks or Apache Spark-based platforms.
• Proven track record ...