Job Description Summary

Job Description

• Lead the development, configuration, and implementation of enterprise MDM solutions, translating complex healthcare data requirements into robust code and configuration files using the Reltio Connected Data Platform.
• Define and enforce best practices for API Development, building seamless real-time data integration endpoints, streaming integrations, and ensuring interoperability across downstream and upstream healthcare applications.
• Implement and optimize MDM workflows leveraging Cloud Technology, managing multi-tenant SaaS features while adhering to organizational standards for cost, security, compliance, and performance.
• Provide expert guidance in Computer Programming and Databasing, developing optimized JSON configurations, handling crosswalk mappings, and structuring queries to interact effectively with Reltio's data store.
• Drive the adoption of DevOps principles and practices, utilizing continuous integration, deployment pipelines, and automated tenant configuration migration across environments.
• Support solutions incorporating Edge Computing and Embedded Systems Architecture, building data syndication logic that allows connected medical devices to consume clean master data.
• Contribute to Full Stack Development efforts, ensuring high-quality implementation from frontend data-steward UI layouts (Reltio Console) to backend data pipelines and integration layers.
• Integrate Machine Learning (ML) capabilities into software products, configuring and tuning probabilistic match rules, match tokens, and automated merge criteria.
• Develop and evolve Microservices Architecture, coding modular, resilient data connectors and event-driven message streaming handlers (e.g., Kafka, SQS).
• Ensure adherence to Network Protocols and stringent healthcare security standards (including HIPAA, HITRUST, and secure encryption protocols) across all development pipelines.
• Champion Object-Oriented Programming (OOP) principles, writing clean, maintainable, and extensible codebases for custom data cleaners, validators, and utility services.
• Execute Performance Testing strategies, identifying API bottlenecks, optimizing batch data loading speeds, and tuning match engine runs to meet stringent performance requirements.
• Participate in Software Design Architecture reviews, presenting code and configuration models, while mentoring and guiding junior data engineers on the team.
• Provide technical leadership and oversight in Software Project Management, breaking down architectural requirements into actionable developer tasks and ensuring successful delivery of sprints.

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of progressive experience in software engineering, with at least 2 years of hands-on experience configuring, developing, and deploying on the Reltio MDM platform.
• Proven expertise in API Development, designing RESTful web services, and building event-driven architectures.
• Extensive experience with Cloud Technology (e.g., AWS, Azure, GCP) and cloud-native application stacks.
• Strong proficiency in Java, Python, or similar Object-Oriented programming languages.
• Deep understanding of Databasing technologies, including NoSQL, relational databases, data warehousing concepts, and complex data modeling.
• Solid experience implementing DevOps practices, infrastructure-as-code principles, and CI/CD automation tools.
• Familiarity with Edge Computing and Embedded Systems Architecture principles as they relate to downstream data ingestion.
• Proficiency in Full Stack Development concepts, with strong experience handling JSON-based configurations and managing application UI definitions.
• Experience with Machine Learning (ML) integration, matching algorithms, and data cleansing applications.
• Demonstrated expertise in Microservices Architecture implementation and cloud integration patterns.
• Strong understanding of Network Protocols, data payload serialization, and secure transport standards.
• Mastery of Object-Oriented Programming (OOP) principles.
• Experience with Performance Testing methodologies, load testing tools, and data pipeline profiling.
• Exceptional skills in Software Design Architecture pattern recognition, entity resolution troubleshooting, and crosswalk analysis.
• Proven ability in Software Project Management methodologies (such as Agile or Scrum) and leading technical delivery blocks.
• Excellent communication, leadership, and interpersonal skills to collaborate effectively with architects, data stewards, and business analysts.

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