Databricks ML (Lead)

ResponsibilitiesLead architecture and design discussions for new data and analytics use casesDesign scalable Lakehouse architecture using Azure Databricks and Azure Data Lake Storage Gen2Define data ingestion transformation orchestration and consumption frameworksArchitect batch and realtime data processing solutionsDevelop data models supporting reporting analytics AIML and business intelligence requirementsEstablish enterprise data governance security and monitoring standardsCollaborate with business stakeholders to translate business requirements into technical solutionsDrive performance optimization cost optimization and platform scalability initiativesDefine CICD DevOps and Infrastructure as Code standards for data platformsMentor data engineers and provide technical leadership across delivery teamsSupport effort estimation technical roadmap creation and solution