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SR. Data Architect
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- THE INTERVIEW IS TO BE HELD IN PERSON ONLY NO EXCEPTIONS. 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.
- Promote a culture of teamwork, leading evaluations of design, code, data assets, and security features, and working with key external data providers like Databricks and Microsoft to follow best practices.
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