Job Summary
Architect role for an MNC requiring extensive experience in Azure Databricks and Azure Machine Learning within media and entertainment domains delivering scalable hybrid cloud data and AI solutions optimizing content workflows and enabling advanced analytics while collaborating with cross functional teams in a day shift hybrid work model supporting global stakeholders.
Responsibilities
Design end to end data and AI architectures using Azure Databricks and Azure Machine Learning to support advanced analytics and predictive capabilities for media and entertainment content workflowsDevelop optimized data pipelines and reusable components in Azure Databricks to process large scale structured and unstructured media datasets with high reliability and performanceDefine reference architectures and patterns for ingestion processing storage and consumption of media data ensuring alignment with enterprise standards and compliance requirementsCollaborate closely with product owners data engineers and data scientists to translate business needs into scalable technical solutions that enhance audience engagement and content monetizationGuide teams in implementing robust MLOps practices on Azure Machine Learning covering model training deployment monitoring and lifecycle management for production grade modelsEstablish data quality governance and observability practices ensuring consistent and trusted datasets that drive decision making across media programming advertising and digital operationsOptimize Databricks clusters notebooks and jobs for cost efficiency reliability and performance ensuring responsible use of compute resources in the hybrid cloud environmentPartner with security and compliance stakeholders to design secure architectures that protect media assets and customer data while meeting regulatory and contractual obligationsCreate detailed solution design documents technical roadmaps and architecture decision records that clearly explain trade offs constraints and expected business outcomesCollaborate with cross functional teams to integrate analytics outputs and machine learning models into content recommendation personalization and campaign optimization journeysDrive adoption of best practices in coding testing documentation and environment management across Azure Databricks and Azure Machine Learning implementationsProvide technical guidance and mentoring to implementation teams helping resolve complex design issues and ensuring architectural consistency across initiativesEngage with business stakeholders to explain solution capabilities and value in clear nontechnical language highlighting measurable impact on audience experience and revenue growth
Qualifications
Possess extensive experience in designing and delivering large scale data engineering solutions using Azure Databricks with focus on media and entertainment use cases such as content usage analytics and campaign reportingDemonstrate advanced proficiency in Azure Machine Learning including model pipelines feature engineering experiment tracking and deployment for tasks such as recommendation and churn predictionBring strong background in media and entertainment domain processes such as content lifecycle advertising operations digital distribution and audience analytics translating domain needs into technical architecturesExhibit solid knowledge of Azure cloud services such as data storage integration identity and monitoring to design robust interoperable solutions in a hybrid work modelShowcase proficiency in modern data engineering practices including distributed processing data modeling orchestration and performance tuning within cloud native ecosystemsDisplay strong capability in stakeholder communication documentation and workshop facilitation to align technical decisions with business priorities and long term platform strategiesApply sound understanding of responsible AI practices data privacy and compliance constraints to ensure solutions respect consumer rights and protect sensitive media and audience data
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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