EXL

Solutions Architect

EXL

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $140,000 - $160,000 per year

Job Level

SeniorLead

Tech Stack

AWSAzureBigQueryCloudETLInformatica

About the role

  • Develop and implement scalable and secure data architecture strategies aligned with organizational goals and healthcare industry standards (e.g., HL7, FHIR, HIPAA, CMS).
  • Lead the modernization of healthcare data platforms into a scalable, AI-enabled architectures that support structured, semi-structured, and unstructured data. Support LLM-based applications and embed vector database technologies.
  • Design and oversee data integration frameworks to support the ingestion, transformation, and dissemination of clinical, operational, and financial data from various sources (EHRs, claims, labs, devices, etc.).
  • Architect cloud-based data solutions (e.g., Azure, AWS, Google Cloud) to support real-time analytics, AI/ML, and scalable storage.
  • Ensure data models and architecture adhere to governance, privacy, and security regulations, including HIPAA and HITECH.
  • Work closely with stakeholders, including data engineers, data scientists, clinicians, and IT teams, to translate business requirements into data solutions and roadmap.
  • Define and maintain a metadata management framework and ensure data lineage and data cataloging practices are followed.
  • Continuously monitor and optimize data architecture for performance, scalability, and cost-efficiency.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Health Informatics, or related field.
  • 10+ years of experience in data architecture or data engineering, with at least 3 years in a healthcare environment.
  • Familiarity with unstructured data processing (e.g. clinical documents, medical records).
  • Deep knowledge of healthcare data standards such as HL7, FHIR, ICD-10, CPT, and SNOMED.
  • Experience with cloud data platforms (e.g., Databricks, Snowflake, Azure Synapse, Google BigQuery, Palantir), including integrated pipelines, lakes, and AI/ML workflows for healthcare, with orchestration, deployment and real-time processing.
  • Proficiency in data modeling tools (e.g., ER/Studio, Erwin) and ETL frameworks (e.g., Informatica, Talend, Azure Data Factory).
  • Familiarity with HIPAA, HITECH, and other healthcare compliance requirements.
  • Strong analytical, communication, and project management skills.
  • Experience with population health, value-based care, or health information exchange (HIE).
  • Experience with Generative AI tools and frameworks (e.g., Azure OpenAI, Amazon Bedrock, Vertex AI, LangChain) and vector databases (e.g., Pinecone, FAISS, ChromaDB).
  • Familiarity with AI/ML applications in healthcare analytics.
  • Certifications: TOGAF, AWS/Azure Data Architect, Certified Health Data Analyst (CHDA).
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architecturedata engineeringunstructured data processingdata modelingETL frameworkscloud data platformsreal-time analyticsAI/ML workflowsmetadata managementdata integration frameworks
Soft skills
analytical skillscommunication skillsproject management skills
Certifications
TOGAFAWS Data ArchitectAzure Data ArchitectCertified Health Data Analyst