Salesforce Technical Architect

OVERALL EXPERIENCE

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
Must Have: Developer Certification (Platform Dev 2), and atleast 2 of the Architect-stream Certifications
Nice to Have: 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).
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.
Must be able to engage with Enterprise Architecture teams in discussing Salesforce Data Modeling
Strong Problem-solving skills, with ability to get multiple solutions for/approaches to solve a problem/scenario
Thorough knowledge of Salesforce Coding best practices, and understanding the limitations of Apex coding
Integrate with Force.com Web services including SOAP, WSDL, REST, SSL standards, security models and typical API client architecture. And experience in working with Force.com Bulk API and the Metadata API.
Implementation knowledge of workflow rules, validation rule, approval process, reports and dashboards
Experience using Apex Data Loader and other ETL tools such as Informatica or Boomi or Cast Iron or Mulesoft

Regards,