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