Senior Data Platform Engineer

Location: California

Senior Data Platform Engineer page is loaded## Senior Data Platform Engineer remote type:
Hybrid locations:
RTP, NCtime type:
Full time posted on:
Posted Todayjob requisition :
R04693

California, US residents .
** The job details are as follows:
**** Who We Are
** We are the first publicly-traded biotech or pharmaceutical company to take the form of a public benefit corporation. Our public benefit purpose is to provide a brighter future for patients through the development of novel pharmaceutical therapies; and technologies that expand the availability of transplantable organs.

United Therapeutics (Nasdaq:
** UTHR**) seeks to travel down the corridors of indifference to develop treatments for rare, deadly diseases. We were founded in 1996 by a family seeking a cure for their daughter’s pulmonary arterial hypertension (
** PAH**). Today, we have six FDA-approved therapies that treat PAH, pulmonary hypertension associated with interstitial lung disease (
** PH-ILD**) and neuroblastoma, a rare pediatric cancer. Our near-term pipeline seeks to develop additional therapies for PAH and pulmonary fibrosis (
** PF**).The cure for end-stage life-threatening diseases like PAH, PH-ILD, PF, and many others is an organ transplant, but only a small percentage of donated organs are available to address the vast need. For this reason, we are working to create manufactured organs to address the shortage of kidneys, hearts, lungs, and livers available for transplant. We believe an unlimited supply of tolerable, transplantable organs will eliminate the transplant waiting list and cure end-stage organ diseases for which transplant is not currently an option.

** Who You Are
** The Senior Data Platform Engineer role supports the Digital Transformation team within the Marketing organization. This role supports the advancement of the enterprise omnichannel strategy by enabling a unified, 360-degree view of patients and healthcare professionals (HCPs) through the integration of diverse data sources into the Salesforce Data Cloud platform. In this role, the individual designs, implements, and optimizes data integrations across Salesforce CRM, Data Cloud, Marketing Cloud, and other enterprise systems.

The role requires experience with HCP and patient data, data modeling, and analytics, along with technical proficiency in Salesforce Data Cloud. Working closely with brand teams, IT, analytics, compliance, and external partners, this role translates business needs into scalable data solutions that support personalized, data-driven marketing. The work supports campaign execution, performance measurement, and ongoing optimization by enabling teams to activate unified data and engage patients and HCPs across channels.

This role contributes to how data is leveraged to support marketing and commercial activities across the organization.
* Ingest, integrate, and manage HCP and patient data from multiple internal and external sources into Salesforce Data Cloud
* Design, build, and maintain scalable data models within Data Cloud to support segmentation, analytics, and activation use cases
* Analyze complex datasets to generate insights that support marketing strategy, campaign execution, and performance measurement
* Translate business requirements into scalable data models, attributes, and metrics within Salesforce Data Cloud to support personalized marketing and engagement strategies
* Enable data activation and integrations across Salesforce Data Cloud, Salesforce CRM, Salesforce Marketing Cloud and other enterprise applications to support personalized engagement
* Optimize data ingestion, transformation, and refresh processes to improve data quality, timeliness, and reliability
* Support AI-driven and advanced analytics capabilities within Data Cloud where appropriate to enhance operations
* Partner with marketing, compliance, analytics, IT, and external vendors to align data solutions with business needs and timelines
* Communicate data concepts, limitations, and insights effectively to both technical and non-technical stakeholders
* Independently identify data quality, integration, and modeling issues and drive them through to resolution
* Propose…