Lead Enterprise Architect creating solution architectures for systems ensuring compliance with client policies and requirements. Involves data ingestion, transformation, and scheduling in a hybrid work setup.
Responsibilities
You will create solution architectures for systems ensuring all recommendations are explored for time, cost and compliance to our client policies while meeting the business' requirements.
You will design and present technical solution with all data ingestion, transformation, and scheduling to review with our client
You will analyze customer use cases, available data to prepare for automated & ongoing data ingestion to meet customer requirements
You will ensure understanding of requirements with Merkle policies, and with industry best practices
You will create solution design options based on requirements and the standards, patterns and procedures of our client
You will architect data feeds, design platform configurations and components needed to run complex automated campaigns
You will complete solution design documentation, including input into our client's standard reference models
You will identify CDP enhancements, extending frameworks and incorporating new ideas
You will develop necessary workflows to extract data, transform the data and load the data into CDP
You will be involved with data Transformation and ETL through custom development and automated solution
You will be involved with data Ingestion through custom development to meet client requirements
You will architect and develop ongoing solutions to ingest customer data in more real-time using streaming technology
You will architect and develop ongoing solutions to automate batch ingestion for AEP customers
You will deploy final solution to a production environment (or Client end-state environment)
You will report into the CDP, Delivery Lead.
Requirements
5+ years of hands-on experience with Adobe Experience Cloud: (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.
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