Solutions Architect, Digital Platforms

Job Description Summary

The Architect, Data Integration & Digital Platform Solutions is responsible for designing and governing the data architecture that enables customer data to be securely ingested, transformed, integrated, and leveraged across the organization's digital platform ecosystem.

GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Job Description

The Architect, Data Integration & Digital Platform Solutions is responsible for designing and governing the data architecture that enables customer data to be securely ingested, transformed, integrated, and leveraged across the organization's digital platform ecosystem. This role serves as the technical leader for customer data onboarding, interoperability, integration frameworks, and enterprise data architecture, ensuring that customer data becomes a scalable foundation for analytics, operational intelligence, workflow optimization, and decision support.

Working across Product, Engineering, Data Science, Customer Success, and Commercial teams, this individual will establish the architecture required to connect disparate customer systems and transform fragmented data into actionable insights across Capital Planning, Operations, Clinical Operations, Revenue Optimization, and Supply Chain domains.

This role will require 50% travel.

Essential Responsibilities

Customer Data Integration Strategy

• Define and execute the architectural strategy for onboarding and integrating customer data into commercial digital platforms.
• Design scalable data ingestion frameworks to support structured, semi-structured, and unstructured customer data sources.
• Establish standards and best practices for customer data acquisition, transformation, validation, and enrichment.
• Ensure data integration architectures support current business requirements and future platform growth.
• Drive technology decisions that simplify customer onboarding while improving data quality and usability.
  

Healthcare & Enterprise Data Architecture

• Design enterprise data models that create a unified view across customer operational, clinical, financial, and asset management systems.
• Develop architectures that support healthcare interoperability standards including HL7, FHIR, DICOM, and API-based integrations.
• Create standardized integration patterns for EHR, ERP, CMMS, supply chain, financial, and operational systems.
• Ensure platform architectures support advanced analytics, machine learning, and enterprise decision intelligence capabilities.

Data Platform & Cloud Architecture

• Design scalable cloud-based architectures supporting data ingestion, storage, processing, governance, and analytics.
• Define data pipelines and integration frameworks that support real-time, near real-time, and batch processing requirements.
• Architect solutions that support large-scale customer data onboarding and multi-tenant platform growth.
• Ensure high availability, reliability, performance, and scalability of data services.

Data Quality, Governance & Security

• Establish architecture standards for data quality, lineage, governance, privacy, and regulatory compliance.
• Design controls that ensure customer data accuracy, completeness, and integrity throughout the data lifecycle.
• Embed cybersecurity, access controls, and compliance requirements into all integration and data management solutions.
• Partner with governance teams to ensure adherence to security and regulatory standards.

Cross-Functional Technical Leadership

• Collaborate with Product Management to define data requirements supporting commercial and customer outcomes.
• Partner with Engineering teams to implement scalable integration and data platform solutions.
• Serve as the technical advisor for customer onboarding initiatives, integration planning, and architecture reviews.
• Guide solution designs that accelerate implementation timelines while minimizing integration complexity.
• Mentor engineering and technical teams on data architecture best practices.

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Healthcare Informatics, or related field.
• 10+ years of experience in enterprise architecture, data architecture, integration architecture, or software engineering leadership.
• Experience designing and implementing large-scale data integration and analytics platforms.
• Strong knowledge of data engineering, ETL/ELT frameworks, APIs, cloud platforms, and enterprise integration patterns.
• Experience working with healthcare, operational, financial, or supply chain data environments.
• Demonstrated success translating complex business requirements into scalable technical solutions.

• Experience with healthcare interoperability standards, including FHIR, HL7, and DICOM.

…