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Role Overview:
- Design and lead modern Lakehouse data platforms using Databricks.
- Focus on building scalable, high-performance data pipelines.
- Enable analytics and AI use cases on cloud-native data platforms.
Key Responsibilities:
- Design and optimize batch & streaming data pipelines using Apache Spark (PySpark/SQL).
- Implement Delta Lake best practices (ACID, schema enforcement, time travel, performance tuning).
- Build and manage Databricks jobs, workflows, notebooks, and clusters.
Must-Have Skills:
- 10+ years in data engineering / data architecture.
- 5+ years of strong hands-on experience with Databricks.
- Expert in Apache Spark, PySpark, SQL.
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They are looking for a Databricks Architect to design and lead modern Lakehouse data platforms using Databricks. The role focuses on building scalable, high-performance data pipelines and enabling analytics and AI use cases on cloud-native data platforms.