Solutions Architect, Digital Platforms

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and implement the architectural strategy for the onboarding and integration of customer data into commercial digital platforms.

• Create scalable data ingestion frameworks for structured, semi-structured, and unstructured customer data.

• Set standards for customer data acquisition, transformation, validation, and enrichment.

• Design enterprise data models to establish a unified view across operational, clinical, financial, and asset management systems.

• Build architectures that support HL7, FHIR, DICOM, and API-based integrations.

• Formulate integration patterns for EHR, ERP, CMMS, supply chain, financial, and operational systems.

• Architect scalable cloud-based infrastructures for data ingestion, storage, processing, governance, and analytics.

• Define real-time, near-real-time, and batch data pipelines.

• Design solutions for extensive customer data onboarding and the growth of multi-tenant platforms.

• Set standards for data quality, lineage, governance, privacy, and regulatory compliance.

• Integrate cybersecurity, access controls, and compliance requirements into data management and integration solutions.

• Collaborate with Product Management, Engineering, Data Science, Customer Success, and Commercial teams.

• Provide guidance on customer onboarding, integration planning, and architecture reviews.

• Mentor engineering and technical teams on best practices in data architecture.

⛳️ Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Healthcare Informatics, or a related field (preferred qualification).

• Over 10 years of experience in enterprise architecture, data architecture, integration architecture, or leadership in software engineering.

• Proven experience in designing and implementing large-scale data integration and analytics platforms.

• Strong understanding of data engineering, ETL/ELT frameworks, APIs, cloud platforms, and enterprise integration patterns.

• Experience in healthcare, operational, financial, or supply chain data environments.

• Demonstrated ability to translate complex business requirements into scalable technical solutions.

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

• Expertise in cloud-native data platforms and contemporary data architectures.

• Experience with SaaS, digital health, enterprise analytics, or decision intelligence platforms.

• Knowledge of AI/ML, predictive analytics, and enterprise reporting architectures.

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

• Legally authorized to work in the United States.

• Must not require sponsorship for employment visa now or in the future.

• Successful completion of a drug screening, as applicable.

🏝️ Benefits

• Medical, dental, and vision insurance.

• Paid time off.

• 401(k) plan with opportunities for employee and company contributions.

• Life, disability, and accident insurance.

• Tuition reimbursement.

• Opportunities for professional development.

• Engaging and challenging career paths.

• Competitive compensation.

• 50% travel may be required.

• Relocation assistance is not provided.