Lead Solutions Architect
November 26
Description
• Create solution architectures for systems ensuring all recommendations are explored for time, cost and compliance to our client policies while meeting the business' requirements. • Design and present technical solution with all data ingestion, transformation, and scheduling to review with our client. • Analyze customer use cases, available data to prepare for automated & ongoing data ingestion to meet customer requirements. • Ensure understanding of requirements with Merkle policies, and with industry best practices. • Create solution design options based on requirements and the standards, patterns and procedures of our client. • Architect data feeds, design platform configurations and components needed to run complex automated campaigns. • Complete solution design documentation, including input into our client's standard reference models. • Identify CDP enhancements, extending frameworks and incorporating new ideas. • Develop necessary workflows to extract data, transform the data and load the data into CDP. • Involved with data Transformation and ETL through custom development and automated solution. • Involved with data Ingestion through custom development to meet client requirements. • Architect and develop ongoing solutions to ingest customer data in more real-time using streaming technology. • Architect and develop ongoing solutions to automate batch ingestion for AEP customers. • Deploy final solution to a production environment (or Client end-state environment).
Requirements
• 5+ years of hands-on experience with Adobe Experience Platform: (any of RT-CDP, AJO, CJA) • Experience working in an agency or consulting company across multiple industries. • Experience collaborating on complex deals and leading teams • Personal technical credibility, through direct experience leading and inspiring teams (directly or indirectly) on technologies and best practices • Experience with activation platforms and concepts (e.g. CMS, DAM, ad serving) • Experience with data security/privacy best practices • Platform architecture with focus on data ingress and egress • XDM & Mix-Ins (for data modeling) • Relational database concepts, with exposure to SQL • Data management, segmentation, ETL best practices • Scripting and query development • Data processing – API, Batch. Specifically – using tools such as Swagger to build and present data relationships across solutions.
Benefits
• A range of medical, dental, vision, 401(k) matching, paid time off, • Other benefits also are available.
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