Overview
Skills
Job Details
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:
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.
Data Management:
Expertise in data governance, data security, and regulatory compliance.
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
Experience in working with client in USA is a Must, and in coordinating between Onsite-Offshore daily
Healthcare domain experience is a huge plus.
SALESFORCE.COM CERTIFICATIONS
- Developer Certification (Platform Dev 2), and atleast 2 of the Architect-stream Certifications
- Advanced Admin (ADM301) or Consultant (Sales Cloud/Service Cloud) Certifications Salesforce Architect certifications such as Salesforce Application Architect or Salesforce System Architect are highly desirable FORCE.COM KNOWLEDGE
- Very good experience in having architected and implemented Salesforce solutions, from a Development perspective.
- Hand-holding Programming team in ensuring Apex/Visualforce/Lightning based solutions are implemented correctly and efficiently.
- Must have Data Cloud Skills and Knowledge
- Data Cloud Strategy & Architecture: 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).
- 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.