Salesforce Architect | Hybrid | W2 Contract.

Xlysi•Los Angeles, CA

1d•Hybrid

About The Position

The Salesforce Architect is a techno-functional specialist with healthcare and life sciences domain knowledge and hands-on expertise in Salesforce Health Cloud and Life Sciences Cloud. The role translates commercial, pharmaceutical, and clinical workflows into Salesforce solutions while serving as a technical bridge to data engineering teams responsible for downstream pipelines, data contracts, and integration with enterprise data platforms such as Snowflake and AWS Lakehouse. The architect leads business discovery and designs end-to-end patient support, engagement, financial assistance, reimbursement, provider and payer engagement, adherence, care management, and consent workflows. The role owns the Health Cloud and Life Sciences Cloud architectural blueprint and configuration/customization strategy, using standard Health Cloud data models where appropriate and designing security for sensitive PHI and PII. The position also architects Salesforce data extraction, replication, streaming, and batch synchronization patterns; defines schemas, metadata, and data contracts for downstream data consumption; and collaborates on ingestion pipelines and middleware. Where applicable, the role may use Salesforce Data Cloud to harmonize patient and provider data for analytics and activation.

Requirements

5 to 10 years of overall IT experience; candidates with 5 or more years may be considered if they match the core techno-functional and integration requirements.
At least 3 years of hands-on experience implementing and architecting Salesforce Health Cloud.
Working knowledge of or direct implementation experience with Salesforce Life Sciences Cloud and its underlying data model.
Functional experience with Patient Support Programs (PSP), Patient Engagement Programs (PEP), or copay/reimbursement programs in Pharma or MedTech.
Familiarity with healthcare interoperability standards, including FHIR and HL7, and regulatory compliance, including HIPAA and GxP.
Strong architectural understanding of Salesforce data modeling, extraction, and downstream synchronization.
Practical understanding of event-driven streaming such as CDC, Platform Events, and Streaming API, and high-volume batch integration using Bulk API 2.0.
Familiarity with modern data platforms such as Snowflake or AWS Lakehouse and integration tools such as MuleSoft, Airflow, dbt, or Kafka.
Exceptional ability to communicate complex technical concepts to non-technical business partners and clinical or commercial leads.
Ability to define schema specifications and work directly with Data Engineers on schema drift, transformation rules, and synchronization issues.

Nice To Haves

Experience with Salesforce Data Cloud, including identity resolution, calculated insights, and data spaces.
Hands-on SQL proficiency to validate downstream data integrity.
Salesforce Certified Health Cloud Accredited Professional certification.
Salesforce Certified Application Architect or Data Architect certification.

Responsibilities

Lead discovery sessions and workshops with 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 and reimbursement programs, provider and payer engagement and onboarding, adherence, care management, and consent tracking.
Ensure compliance with healthcare data governance, privacy, and regulatory frameworks, including HIPAA, GxP, FDA guidelines, and FHIR/HL7 standards.
Own the architectural blueprint and configuration/customization strategy for Salesforce Health Cloud and Life Sciences Cloud.
Use standard Health Cloud data models, including Care Programs, Program Enrollees, Care Plans, Clinical/EHR objects, and Benefits & Verification, to avoid unnecessary technical debt.
Design role hierarchies, sharing architectures, and field-level security for sensitive PHI and PII.
Serve as the primary technical bridge between Salesforce and enterprise downstream data engineering teams.
Architect and manage data extraction, replication, and streaming using Change Data Capture (CDC), Platform Events, and Pub/Sub API for real-time or event-driven ingestion.
Use Bulk API 2.0 and REST/SOAP APIs for batch synchronization.
Establish data contracts, schemas, and metadata definitions for downstream consumption in data lakes and warehouses.
Collaborate on ingestion pipelines and middleware flows using tools such as 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.
Define schema specifications and partner with Data Engineers to resolve schema drift, transformation rules, and synchronization issues.
Communicate complex technical concepts to non-technical business partners and clinical or commercial leads.