Data Cloud Architect

We are seeking a skilled Data Cloud Architect specializing in Salesforce to lead the design, implementation, and optimization of our Salesforce Data Cloud solutions. This role is responsible for architecting scalable, secure, and high-performance data integrations and analytics within the Salesforce ecosystem, ensuring alignment with business objectives and best practices.

As a Data Cloud Architect, you will be responsible for designing end-to-end data architectures leveraging Salesforce Data Cloud, including data modeling, integration, and governance. You will collaborate with business stakeholders, technical teams, and external partners to translate business requirements into robust technical solutions. Your role will involve overseeing data ingestion from multiple sources, ensuring data quality and compliance, and optimizing data flows for analytics and AI use cases. You will also provide technical leadership, mentor team members, and stay current with Salesforce Data Cloud advancements.

The ideal candidate will have extensive experience with Salesforce Data Cloud (formerly Salesforce CDP), strong knowledge of data architecture principles, and hands-on expertise in data integration tools such as MuleSoft, Informatica, or similar platforms. Proficiency in designing data models, managing large-scale data pipelines, and implementing data security and privacy controls is essential. You should possess excellent problem-solving skills, strong communication abilities, and a proven track record of delivering complex Salesforce data projects. Salesforce certifications such as Data Cloud Consultant, Integration Architect, or Application Architect are highly desirable.

Experience working in enterprise environments, familiarity with cloud platforms like AWS or Azure, and knowledge of data analytics, AI, or machine learning within the Salesforce ecosystem are highly valued. A background in industries such as financial services, healthcare, or retail will be considered a plus.

A bachelor’s or master’s degree in Computer Science, Information Systems, Engineering, or a related field is required.