Lead architecture and design discussions for new data and analytics use cases
Design scalable Lakehouse architecture using Azure Databricks and Azure Data Lake Storage Gen2
Define data ingestion transformation orchestration and consumption frameworks
Architect batch and realtime data processing solutions
Develop data models supporting reporting analytics AIML and business intelligence requirements
Establish enterprise data governance security and monitoring standards
Collaborate with business stakeholders to translate business requirements into technical solutions
Drive performance optimization cost optimization and platform scalability initiatives
Define CICD DevOps and Infrastructure as Code standards for data platforms
Mentor data engineers and provide technical leadership across delivery teams
Support effort estimation technical roadmap creation and solution

Databricks ML (Lead)

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