Salesforce Architect | Hybrid | W2 Contract.

We are looking for a Techno-Functional Specialist with deep domain <wbr />knowledge in Healthcare & Life Sciences (HLS) and hands-on expertise <wbr />in Salesforce Health Cloud and Life Sciences Cloud. In this role, you will <wbr />deliver

dual value: sitting with <wbr />commercial, pharma, and <wbr />clinical stakeholders to <wbr />translate business workflows <wbr />into Salesforce solutions, <wbr />while actively collaborating <wbr />with our Data Engineering team to architect and manage <wbr />downstream data pipelines, <wbr />data contracts, and <wbr />integration into enterprise <wbr />data platforms (Snowflake, AWS Lakehouse).

Key Responsibilities:

1. Functional & Business <wbr />Domain Leadership

• Lead discovery sessions and <wbr />workshops with business <wbr />stakeholders across Commercial Pharma, MedTech, and Patient Services.
• Architect and implement end-<wbr />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 <wbr />healthcare data governance, <wbr />privacy, and regulatory <wbr />frameworks (HIPAA, GxP, FDA guidelines, FHIR/HL7 standards).

2. Salesforce Health Cloud & <wbr />Life Sciences Cloud <wbr />Architecture

• Own the architectural <wbr />blueprint and configuration/<wbr />customization strategy within Salesforce Health Cloud and Life Sciences Cloud.
• Maximize the use of standard <wbr />Health Cloud data models (<wbr />Care Programs, Program <wbr />Enrollees, Care Plans, <wbr />Clinical/EHR objects, <wbr />Benefits & Verification) to <wbr />prevent unnecessary technical <wbr />debt.
• Design robust role <wbr />hierarchies, sharing <wbr />architectures, and field-<wbr />level security tailored to <wbr />sensitive Patient Health <wbr />Information (PHI) and PII.

3. Downstream Data <wbr />Engineering & Integration

• Serve as the primary <wbr />technical bridge between the <wbr />Salesforce platform and <wbr />enterprise downstream data <wbr />engineering teams.
• Architect and manage data <wbr />extraction, replication, and <wbr />streaming patterns using:
• Change Data Capture (CDC), Platform Events, and Pub/Sub API for real-time/event-<wbr />driven ingestion.
• Bulk API 2.0 and REST/SOAP APIs for <wbr />batch synchronization.
• Establish clear data contracts, schemas, and <wbr />metadata definitions for <wbr />downstream consumption into Data Lakes/Warehouses (e.g., Snowflake, BigQuery, Databricks).
• Collaborate on ingestion <wbr />pipelines and middleware <wbr />flows (via MuleSoft, ETL/ELT pipelines, or Kafka).
• (Where applicable) Leverage Salesforce Data Cloud to harmonize and unify <wbr />patient and provider data for <wbr />downstream analytics and <wbr />activation.

Experience:

• 5 to 10 years of overall IT <wbr />experience (ideally 8–10 years, but strong candidates <wbr />with 5+ years who strictly <wbr />match the core techno-<wbr />functional and integration <wbr />requirements will be actively <wbr />considered).
• Minimum 3+ years of hands-on experience <wbr />implementing and architecting Salesforce Health Cloud.
• Working knowledge or direct <wbr />implementation experience with Salesforce Life Sciences Cloud and its underlying data <wbr />model.

Domain Expertise:

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

Technical & Data Engineering Proficiency:

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

Communication & Collaboration:

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

Preferred Qualifications

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