What are the responsibilities and job description for the Salesforce Data Cloud Architect position at HCL Global Systems?
OVERALL EXPERIENCE
- SFDC Technical Architect : 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
Technical Expertise :
o Proven track record in designing and implementing data architectures within the Salesforce ecosystem.
o In-depth knowledge of Salesforce Data Cloud (Customer 360) and related technologies (MuleSoft, Marketing Cloud, Tableau, etc.).
o Strong understanding of Salesforce architecture, including integration patterns, data modeling, and API frameworks.
o Hands-on experience with Salesforce data tools like Salesforce Data Loader, Einstein Analytics, and other data management platforms.
Data Management :
o 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.
SALESFORCE.COM CERTIFICATIONS
FORCE.COM KNOWLEDGE
o Data Cloud Strategy & Architecture : Design the overall data architecture strategy for Salesforce Data Cloud, ensuring alignment with business objectives and Salesforce best practices.
o Data Integration : Architect and implement integration solutions between Salesforce Data Cloud and other enterprise systems, ensuring data consistency and integrity across platforms.
o Data Governance : Establish and enforce data governance practices, ensuring data accuracy, quality, security, and compliance with relevant regulations (e.g., GDPR, CCPA).
o Data Modeling : Define data models and structures within Salesforce Data Cloud to support business processes and reporting requirements. Design scalable and maintainable data architectures.
o 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.
o Advanced Analytics & AI : Collaborate with teams to integrate AI-driven analytics and predictive models within Salesforce, leveraging data cloud insights to drive business outcomes.
