Solutions Architect, Digital Platforms

GE HealthCare

4d • $188,000 - $282,000

About The Position

The Architect, Data Integration & Digital Platform Solutions designs and governs data architecture that enables customer data to be securely ingested, transformed, integrated, and used across GE HealthCare’s digital platform ecosystem. The role provides technical leadership for customer data onboarding, interoperability, integration frameworks, and enterprise data architecture, making customer data a scalable foundation for analytics, operational intelligence, workflow optimization, and decision support.

Working across Product, Engineering, Data Science, Customer Success, and Commercial teams, the Architect establishes architecture that connects disparate customer systems and transforms fragmented data into actionable insights across Capital Planning, Operations, Clinical Operations, Revenue Optimization, and Supply Chain domains. The role requires 50% travel.

Requirements

• 10+ years of experience in enterprise architecture, data architecture, integration architecture, or software engineering leadership.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Healthcare Informatics, or a related field.
• 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 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.
• Expertise in cloud-native data platforms and modern data architectures.
• Experience supporting SaaS, digital health, enterprise analytics, or decision intelligence platforms.
• Knowledge of AI/ML, predictive analytics, and enterprise reporting architectures.
• Ability to travel 50%.

Nice To Haves

• Industry certifications in cloud architecture, data engineering, or enterprise architecture.

Responsibilities

• Define and execute the architectural strategy for onboarding and integrating customer data into commercial digital platforms.
• Design scalable ingestion frameworks for structured, semi-structured, and unstructured customer data.
• Establish standards and best practices for customer data acquisition, transformation, validation, and enrichment.
• Ensure integration architectures meet current business requirements and support future platform growth.
• Drive technology decisions that simplify customer onboarding and improve data quality and usability.
• Design enterprise data models that unify customer operational, clinical, financial, and asset management data.
• Develop architectures supporting 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.
• Design scalable cloud architectures for data ingestion, storage, processing, governance, and analytics.
• Define pipelines and integration frameworks for real-time, near-real-time, and batch processing.
• Architect solutions for large-scale customer data onboarding and multi-tenant platform growth.
• Ensure data services provide high availability, reliability, performance, and scalability.
• Establish architecture standards for data quality, lineage, governance, privacy, and regulatory compliance.
• Design controls to ensure customer data accuracy, completeness, and integrity throughout its lifecycle.
• Embed cybersecurity, access controls, and compliance requirements in integration and data management solutions.
• Partner with governance teams to ensure adherence to security and regulatory standards.
• Collaborate with Product Management to define data requirements that support commercial and customer outcomes.
• Partner with Engineering teams to implement scalable integration and data platform solutions.
• Advise on customer onboarding initiatives, integration planning, and architecture reviews.
• Guide solution designs that accelerate implementation while minimizing integration complexity.
• Mentor engineering and technical teams on data architecture best practices.

Benefits

• Medical, dental, and vision benefits.
• Paid time off.
• 401(k) plan with employee and company contribution opportunities.
• Life, disability, and accident insurance.
• Tuition reimbursement.
• The position may be eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives.
• Relocation assistance is not provided.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior