Data Architect

• Job Role:- :- Data Architect [Media & Entertainment ]
• Location :- USA Remote
• Job 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 Responsibilities

• Design 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 Skills

• Strong 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 & Entertainment
• Customer Entitlements
• Rights & Content Licensing
• Advertising / Ad Tech
• Streaming analytics and viewer/customer data
• Content monetization and billing
• Experience with API integration, microservices, event-driven architecture, and real-time data processing.
• Strong understanding of data security, governance, privacy, lineage, and master data management.