Data Architect
Job Role:- :- Data Architect [Media & Entertainment ]Location :- USA RemoteJob Type :- Full Time Job Description:-We are looking for an experienced Data Architect with strong expertise in AWS Cloud, Media & Entertainment, Video/Content platforms, and Order Management systems. The candidate will design scalable, secure, and high-performance data architectures supporting video content, digital media, customer orders, subscriptions, and distribution workflows.Preferred: Experience with Media & Entertainment domain/Digital Media, media distribution ecosystems, subscription/order journeys, and AWS-Cloud Architecture.Key ResponsibilitiesDesign and implement cloud-native data architectures on AWS for media and entertainment platforms.Architect data solutions supporting video content, OTT/streaming, digital media, and content distribution.Design data models and integration patterns for Order Management Systems (OMS), including video/content orders, subscriptions, packages, and entitlements.Develop scalable data lakes, data warehouses, and real-time data pipelines.Integrate data from content management, CRM, billing, order management, streaming, and customer platforms.Establish data governance, security, quality, lineage, and performance standards.Work with engineering, product, and business teams to translate media-domain requirements into scalable data solutions.Required SkillsStrong AWS expertise: S3, Glue, AWS Lambda, , Lake Formation, RDS, DynamoDB, CloudWatch, IAM.Data architecture, Data Lake/Data Warehouse/Lakehouse, dimensional modeling, and ETL/ELT.Strong experience with Order Management Systems (OMS) and order-to-fulfillment workflows.Media & Entertainment domain knowledge, particularly:-Media & EntertainmentCustomer EntitlementsRights & Content LicensingAdvertising / Ad TechStreaming analytics and viewer/customer dataContent monetization and billingExperience with API integration, microservices, event-driven architecture, and real-time data processing.Strong understanding of data security, governance, privacy, lineage, and master data management.