Required Qualifications

- 6+ years in enterprise data architecture; 3+ years hands-on with Salesforce Data Cloud (formerly CDP) — data model, identity resolution, calculated insights, segmentation, and activation.
- Proven experience building 360-degree profiles (patient, customer, or provider) unifying multiple source systems at enterprise scale.
- Experience with Salesforce Life Sciences Cloud or Health Cloud, including its data model and how it interacts with Data Cloud.
- Working knowledge of Agentforce (or equivalent agentic AI platforms) — grounding data sources, topics/actions design, and protected activation of unified data for AI-driven agents.
- Robust understanding of healthcare/pharma data standards (HL7, FHIR) and HIPAA/PHI compliance in a unified data context.
- Experience with identity resolution, MDM concepts, and data harmonization across structured and semi-structured sources.
- Proficiency with SQL, data modeling, and integration patterns (batch/streaming/real-time); familiarity with tools like Snowflake, Databricks,



or similar CDW/lakehouse platforms.
- Strong stakeholder communication skills — able to bridge data architecture, compliance/privacy, and clinical/commercial business needs.

## Preferred Qualifications

- Salesforce certifications: Data Cloud Consultant/Architect, Life Sciences Cloud, Agentforce Specialist, or Health Cloud Accredited Professional.
- Experience in pharma patient services/hub programs — patient enrollment, advantages verification, adherence, HCP engagement, or commercial analytics.
- Familiarity with consent management platforms and pharma compliance frameworks (21 CFR Part 11, GxP).
- Experience architecting AI/agentic grounding strategies — ensuring agent responses are accurate, compliant, and explainable when acting on sensitive health data.
- Background in MuleSoft or other integration platforms feeding data into Data Cloud (useful for cross-team alignment, not a core requirement).

📌 Salesforce Data Cloud Architect (Canada)
🏢 Arkhya Tech.
📍 Canada