Solution Architect1Key Responsibilities:
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Design and implement scalable data integration solutions using Oracle Data Integrator (ODI).
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Leverage Python for advanced data transformation, automation, and orchestration tasks.
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Architect and support solutions around healthcare data systems, including hospital claims, billing, and payer-provider integrations.
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Translate business needs into end-to-end data solutions, with a focus on performance, maintainability, and regulatory compliance.
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Collaborate with stakeholders across data engineering, analytics, compliance, and business teams to define architecture standards and ensure alignment.
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Lead technical design sessions, create architecture documents, and mentor development teams on best practices.
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Ensure data governance, privacy, and security standards are embedded into architecture.
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Drive the migration and modernization of legacy healthcare systems into modern data platforms (on-premise or cloud).
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Troubleshoot and optimize complex data pipelines and integration workflows.
Required Skills & Experience:
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8+ years of experience in data architecture, data engineering, or related technical roles.
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Strong expertise in Oracle Data Integrator (ODI) – especially for enterprise-scale ETL/ELT workflows.
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Proficiency in Python for scripting, data wrangling, and automation.
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Deep knowledge of hospital claims processing, 837/835 EDI files, revenue cycle management (RCM), or payer-provider data exchanges.
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Solid understanding of data modeling, data warehousing, and healthcare data standards (e.g., HL7, FHIR, ICD, CPT).
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Familiarity with HIPAA compliance and healthcare data privacy/security practices.
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Experience designing and implementing cloud-based data architectures (e.g., OCI, AWS, Azure).
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Strong SQL and database optimization experience (Oracle, PostgreSQL, etc.).
Excellent communication and stakeholder management skills.
Top Skills
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