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Senior Architect - Databricks
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- Develop and oversee a comprehensive data architecture, aligning with business goals and integrating technologies such as Azure, Databricks, and Palantir to craft a forward-looking data management and analytics landscape
- Lead the design of enterprise-grade data platforms addressing needs across Data Engineering, Data Science, and Data Analysis, capitalizing on the capabilities of Azure Databricks
- Architect, develop, and document scalable data architecture patterns, ETL frameworks, and governance policies, adhering to Databricks' best practices to support future and unknown use cases with minimal rework
- Direct the strategic implementation of Databricks-based solutions, aligning them with business objectives and data governance standards while optimizing performance and efficiency
- Proficiency in SQL, Python, Scala, or Java. Experience with big data technologies (e.g., Spark, Hadoop, Kafka), MPP databases, and cloud infrastructure
Expired 8 days agoInactive Job
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