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As a Senior Data Engineer at Merkle, you will design, implement, and support end-to-end solutions on cloud platforms. You will work with CI/CD tools, maintain GIT repositories, and document processes while collaborating with stakeholders to address data infrastructure needs.

The Senior Data Engineer will architect and maintain data solutions on cloud platforms like AWS and Azure, manage CI/CD processes, document using Confluence, and assist stakeholders with data-related technical issues while optimizing data delivery infrastructure.

The Data Solutions Architect will design and implement scalable Enterprise Analytics and Data Science solutions using cloud technologies. They will translate business needs into technical solutions, oversee project implementation, and ensure adherence to architectural guidelines while guiding the implementation team and supporting pre-sales efforts.

The Data Solutions Architect role involves driving the architecture of Enterprise Analytics and Data Science solutions using cloud technologies. Responsibilities include translating business goals into technical solutions, maintaining governance for scalability, and guiding an implementation team. This role also supports pre-sales and ensures automation in development processes.

The Data Solutions Architect will lead the architecture of Enterprise Analytics and Data Science solutions, translate business goals into technical implementations, oversee large data integrations, and ensure project alignment with business requirements. They will also support pre-sales efforts and maintain guidelines for optimal project delivery.

As a Salesforce Developer, you will customize Salesforce solutions for clients, prepare automated tests, implement data modeling, automate processes, and integrate with external systems while collaborating with the internal team.

The Data Solutions Architect will lead the design and implementation of enterprise analytics and BI solutions, translating business goals into technical architectures while ensuring scalable, cloud-based implementations. They will guide technical teams, support pre-sales activities, and maintain delivery frameworks that ensure consistent project execution and DevOps automation.