Salesforce Architect | Hybrid | W2 Contract.

We are looking for a Techno-Functional Specialist with deep domain knowledge in Healthcare & Life Sciences (HLS) and hands-on expertise in Salesforce Health Cloud and Life Sciences Cloud. In this role, you will deliver dual value: sitting with commercial, pharma, and clinical stakeholders to translate business workflows into Salesforce solutions, while actively collaborating with our Data Engineering team to architect and manage downstream data pipelines, data contracts, and integration into enterprise data platforms (Snowflake, AWS Lakehouse)., 1. Functional & Business Domain Leadership

• Lead discovery sessions and workshops with business stakeholders across Commercial Pharma, MedTech, and Patient Services.
• Architect and implement end-to-end workflows for:
• Patient Support Programs (PSP) & Patient Engagement Programs (PEP)
• Copay, Financial Assistance & Reimbursement Programs
• Provider (HCP) / Payer engagement and onboarding
• Adherence, care management, and consent tracking
• Ensure strict compliance with healthcare data governance, privacy, and regulatory frameworks (HIPAA, GxP, FDA guidelines, FHIR/HL7 standards). 2. Salesforce Health Cloud & Life Sciences Cloud Architecture
• Own the architectural blueprint and configuration/customization strategy within Salesforce Health Cloud and Life Sciences Cloud.
• Maximize the use of standard Health Cloud data models (Care Programs, Program Enrollees, Care Plans, Clinical/EHR objects, Benefits & Verification) to prevent unnecessary technical debt.
• Design robust role hierarchies, sharing architectures, and field-level security tailored to sensitive Patient Health Information (PHI) and PII. 3. Downstream Data Engineering & Integration
• Serve as the primary technical bridge between the Salesforce platform and enterprise downstream data engineering teams.
• Architect and manage data extraction, replication, and streaming patterns using:
• Change Data Capture (CDC), Platform Events, and Pub/Sub API for real-time/event-driven ingestion.
• Bulk API 2.0 and REST/SOAP APIs for batch synchronization.
• Establish clear data contracts, schemas, and metadata definitions for downstream consumption into Data Lakes/Warehouses (e.g., Snowflake, BigQuery, Databricks).
• Collaborate on ingestion pipelines and middleware flows (via MuleSoft, ETL/ELT pipelines, or Kafka).
• (Where applicable) Leverage Salesforce Data Cloud to harmonize and unify patient and provider data for downstream analytics and activation.

Salesforce.com, Salesforce.com, Cloud Computing, Healthcare, Biology, Data Management, Biotech and Pharmaceutical, Snowflake Schema, Amazon Web Services (AWS), Enterprise Data Integration, * 5 to 10 years of overall IT experience (ideally 8-10 years, but strong candidates with 5+ years who strictly match the core techno-functional and integration requirements will be actively considered).

• Minimum 3+ years of hands-on experience implementing and architecting Salesforce Health Cloud.
• Working knowledge or direct implementation experience with Salesforce Life Sciences Cloud and its underlying data model.

Domain Expertise:

• Proven functional experience in Patient Support Programs (PSP), Patient Engagement Programs (PEP), or Copay/Reimbursement programs within Pharma or MedTech.
• Strong familiarity with healthcare interoperability standards (FHIR, HL7) and regulatory compliance (HIPAA, GxP).

Technical & Data Engineering Proficiency:

• Strong architectural understanding of how Salesforce data is modeled, extracted, and synchronized downstream.
• Practical understanding of event-driven streaming (CDC, Platform Events, Streaming API) and high-volume batch integration (Bulk API 2.0).
• Familiarity with modern data platforms (Snowflake, AWS Lakehouse ) and integration tools (MuleSoft, Airflow, dbt, or Kafka).

Communication & Collaboration:

• Exceptional ability to communicate complex technical concepts to non-technical business partners and clinical/commercial leads.
• Ability to define schema specifications and partner directly with Data Engineers to resolve schema drift, transformation rules, and sync issues.

Preferred Qualifications

• Experience with Salesforce Data Cloud (identity resolution, calculated insights, data spaces).
• Hands-on SQL proficiency to validate downstream data integrity.
• Certifications: (Good to Have)
• Salesforce Certified Health Cloud Accredited Professional
• Salesforce Certified Application Architect or Data Architect