Architect role in a hybrid work model for a global media and entertainment client focusing on designing and implementing data and machine learning solutions using Azure Databricks and Azure Machine Learning. Role requires twelve to sixteen years of experience with solid domain understanding of media workflows content lifecycles and audience analytics to drive impactful business outcomes.
Responsibilities
Design end to end data and analytics architectures on Azure Databricks to support high volume media and entertainment content workflows and audience analytics use cases
Develop scalable data engineering patterns that ingest transform and curate media usage data in Azure Databricks to enable reliable reporting and experimentation
Coordinate with product and business teams from media and entertainment lines of business to translate complex requirements into clear data and machine learning solution designs
Guide teams in implementing reusable frameworks for feature engineering model training and batch and near real time scoring using Azure Machine Learning
Define standards for code quality observability data validation and security across Azure Databricks workspaces to ensure resilient and maintainable solutions
Create reference architectures and design blueprints that optimize storage compute and orchestration choices for typical media audience measurement recommendation and advertising analytics scenarios
Collaborate with data scientists to operationalize machine learning models on Azure Machine Learning including pipelines monitoring and continuous improvement practices
Review and refine solution designs to ensure they align with enterprise architecture principles regulatory expectations and specific needs of media and entertainment markets
Provide technical guidance to implementation teams to resolve performance bottlenecks data quality issues and integration challenges across upstream and downstream platforms
Document architecture decisions data mo