Axelon
Salesforce Data Cloud Architect
Axelon, Atlanta, Georgia, United States, 30383
Job Title: Salesforce Data Cloud Architect (Hybrid)Location: Atlanta, GA
Description:
Design the overall data architecture strategy for Salesforce Data Cloud, ensuring alignment with business objectives and Salesforce best practices.Data Integration: Architect and implement integration solutions between Salesforce Data Cloud and other enterprise systems, ensuring data consistency and integrity across platforms.Data Governance: Establish and enforce data governance practices, ensuring data accuracy, quality, security, and compliance with relevant regulations (e.g., GDPR, CCPA).Data Modeling: Define data models and structures within Salesforce Data Cloud to support business processes and reporting requirements.Design scalable and maintainable data architectures.Customer 360 Solutions: Lead the implementation of Salesforce Data Cloud to enable a single view of customers (Customer 360), ensuring optimal customer insights and analytics for personalized customer engagement.Advanced Analytics & AI: Collaborate with teams to integrate AI-driven analytics and predictive models within Salesforce, leveraging data cloud insights to drive business outcomes.Qualifications:
10+ years of IT industry total experience, with Minimum 7 years specifically in hands-on Salesforce.com architecting/solutioning, and development (coding) in Apex and Visualforce and Lightning, and Experience in Data Modeling specific to Salesforce.Must have extensive experience in Data Cloud and have designed/architected a minimum of 3-4 Data Cloud projects.Proven track record in designing and implementing data architectures within the Salesforce ecosystem.In-depth knowledge of Salesforce Data Cloud (Customer 360) and related technologies (MuleSoft, Marketing Cloud, Tableau, etc.).Strong understanding of Salesforce architecture, including integration patterns, data modeling, and API frameworks.Hands-on experience with Salesforce data tools like Salesforce Data Loader, Einstein Analytics, and other data management platforms.Expertise in data governance, data security, and regulatory compliance. o Strong experience with data integration, ETL (Extract, Transform, Load) processes, and middleware platforms like MuleSoft.Any prior experience with other technologies like Java/.Net is highly preferred.Developer Certification (Platform Dev 2), and at least 2 of the Architect-stream Certifications.
Description:
Design the overall data architecture strategy for Salesforce Data Cloud, ensuring alignment with business objectives and Salesforce best practices.Data Integration: Architect and implement integration solutions between Salesforce Data Cloud and other enterprise systems, ensuring data consistency and integrity across platforms.Data Governance: Establish and enforce data governance practices, ensuring data accuracy, quality, security, and compliance with relevant regulations (e.g., GDPR, CCPA).Data Modeling: Define data models and structures within Salesforce Data Cloud to support business processes and reporting requirements.Design scalable and maintainable data architectures.Customer 360 Solutions: Lead the implementation of Salesforce Data Cloud to enable a single view of customers (Customer 360), ensuring optimal customer insights and analytics for personalized customer engagement.Advanced Analytics & AI: Collaborate with teams to integrate AI-driven analytics and predictive models within Salesforce, leveraging data cloud insights to drive business outcomes.Qualifications:
10+ years of IT industry total experience, with Minimum 7 years specifically in hands-on Salesforce.com architecting/solutioning, and development (coding) in Apex and Visualforce and Lightning, and Experience in Data Modeling specific to Salesforce.Must have extensive experience in Data Cloud and have designed/architected a minimum of 3-4 Data Cloud projects.Proven track record in designing and implementing data architectures within the Salesforce ecosystem.In-depth knowledge of Salesforce Data Cloud (Customer 360) and related technologies (MuleSoft, Marketing Cloud, Tableau, etc.).Strong understanding of Salesforce architecture, including integration patterns, data modeling, and API frameworks.Hands-on experience with Salesforce data tools like Salesforce Data Loader, Einstein Analytics, and other data management platforms.Expertise in data governance, data security, and regulatory compliance. o Strong experience with data integration, ETL (Extract, Transform, Load) processes, and middleware platforms like MuleSoft.Any prior experience with other technologies like Java/.Net is highly preferred.Developer Certification (Platform Dev 2), and at least 2 of the Architect-stream Certifications.