Architect role for an experienced qualified with twelve to sixteen years of background in designing and delivering large scale data and machine learning platforms using Azure Databricks and Azure Machine Learning in media and entertainment domain focused environments. The role uses a hybrid work model in day shift and emphasizes secure scalable and responsible solutions.
Responsibilities
Design robust Azure Databricks based data platforms that support high volume media content workflows and complex analytics needs for global business teams in a hybrid work environment
Architect end to end Azure Machine Learning solutions that enable advanced prediction models for audience engagement content performance and personalized recommendations in media and entertainment use cases
Define scalable data lake and medallion architecture patterns on Azure that ensure reliable ingestion curation and consumption of structured and unstructured media data assets
Coordinate with product owners and domain experts to translate media and entertainment business goals into practical data and machine learning features and implementation roadmaps
Guide engineering teams in implementing secure and cost optimized Azure Databricks clusters jobs and notebooks aligned with organizational governance and compliance standards
Establish best practices for machine learning lifecycle management including experiment tracking model versioning model retraining and responsible deployment using Azure Machine Learning
Collaborate with data engineers data scientists and platform specialists to troubleshoot performance issues and continuously improve data pipelines and model serving pipelines
Prepare detailed solution design documents and architecture diagrams that clearly describe integration points data flows and operational responsibilities for all stakeholders
Review existing media analytics solutions and recommend modernization approaches that leverage Azure Databricks Delta architecture