Salesforce Architect II
6 days ago
Salesforce & Data Cloud Expertise :
- Strong hands-on experience with Salesforce Data Cloud (Customer 360)
Deep understanding of :
- Data Cloud architecture, data models, harmonization, calculated insights, identity resolution
- Data Cloud Query Language (DQL) and advanced segmentation
Salesforce certifications :
- Salesforce Certified Data Cloud Consultant
- Salesforce Application Architect or System Architect
- Proven experience in designing and implementing Salesforce data architectures
- Solid understanding of Salesforce integration patterns, data modeling, and API frameworks
Data Integration & Architecture :
- Experience with API-based integrations, ETL/ELT pipelines, and event-driven architectures
- Familiarity with cloud-native architectures : AWS, Azure, GCP, Snowflake, Databricks
- Expertise in data architecture, data governance, MDM, data lakes, and warehousing
- Strong experience with middleware platforms like MuleSoft
- Knowledge of real-time personalization, predictive insights, and recommendation engines
AI/ML & Analytics Integration :
- Experience integrating AI/ML models with Data Cloud using tools like Einstein Studio
- Hands-on with model builder and integrating external LLMs with Agentforce
- Advanced analytics and Customer 360 implementations
Client & Team Interaction :
- Experience working with US-based clients
- Ability to coordinate effectively between onsite and offshore teams
- Strong communication and problem-solving skills
- Ability to guide development teams in Apex, Visualforce, and Lightning implementations
Good to Have Skills :
- Healthcare domain experience
Experience with :
- Salesforce Marketing Cloud, Tableau, Einstein Analytics
- Designing unified data platforms / CDPs at scale
- Knowledge of regulatory compliance standards (e.g., GDPR, CCPA)
- Experience with Agentforce solutions involving RAG-based retrievers
- Familiarity with data security, data governance policies, and regulatory frameworks
Soft Skills :
- Strong problem-solving mindset with multiple solutioning approaches
- Ability to engage with enterprise architecture teams for data modeling and strategy discussions
- Leadership in defining scalable, maintainable architectures
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