Staff Software Architect

• Lead the architectural design and development of enterprise MDM solutions, translating complex healthcare data requirements into robust and scalable technical designs using the Reltio Connected Data Platform.

• Define and enforce best practices for API Development, ensuring seamless real-time data integration, streaming, and interoperability across downstream and upstream healthcare systems.

• Architect and optimize MDM solutions leveraging Cloud Technology, aligning multi-tenant SaaS capabilities with organizational considerations for cost, security, compliance, and performance.

• Provide expert guidance in Computer Programming and Databasing, selecting appropriate graph database concepts, NoSQL stores, and data structures to optimize Reltio L1/L2/L3 configurations.

• Drive the adoption of DevOps principles and practices, fostering continuous integration, deployment, and automated configuration management (JSON/UI) across tenant environments.

• Design and implement solutions incorporating Edge Computing and Embedded Systems Architecture, ensuring real-time data syndication and golden-record lookup capability for connected medical devices.

• Contribute to Full Stack Development efforts, ensuring architectural coherence from data-layer crosswalks and survivorship strategies to backend integrations and customer-facing UI/data steward consoles.

• Integrate Machine Learning (ML) capabilities into software products, utilizing advanced probabilistic matching, anomaly detection, and automated entity resolution.

• Design and evolve Microservices Architecture, promoting modularity, resilience, and independent deployability of data connectors and event-driven data streaming pipelines.

• Ensure adherence to Network Protocols and stringent healthcare security standards (including HIPAA, HITRUST, and data encryption) in all software designs.

• Champion Object-Oriented Programming (OOP) principles, promoting clean, maintainable, and extensible codebases for custom integration wrappers and data handlers.

• Oversee Performance Testing strategies and execution, ensuring high-throughput batch loading and low-latency API response times meet stringent performance requirements.

• Lead Software Design Architecture reviews, mentoring and guiding data engineering and MDM development teams on match/merge and survivorship logic.

• Provide technical leadership and oversight in Software Project Management, ensuring successful delivery of enterprise data-domain and architectural initiatives.

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

• 10+ years of progressive experience in software development, with at least 3 years in a lead architect role specifically focused on master data management (MDM) platforms.

• Proven expertise in API Development and designing robust REST APIs and event-driven architectures (e.g., Kafka, AWS SQS/SNS).

• Extensive experience with Cloud Technology (e.g., AWS, Azure, GCP) and cloud-native architectures; direct experience with the Reltio SaaS environment is highly preferred.

• Strong proficiency in various Computer Programming languages and paradigms (e.g., Java, Python).

• Deep understanding of Databasing technologies, including graph databases, document stores, relational systems, and cloud data warehouses like Snowflake or Databricks.

• Solid experience implementing DevOps practices, automated tenant deployments, and CI/CD tools.

• Familiarity with Edge Computing and Embedded Systems Architecture principles as they relate to real-time distributed data consumption.

• Proficiency in Full Stack Development concepts, including data modeling, pipeline architecture, and front-end interface adjustments (JSON configuration).

• Experience with Machine Learning (ML) integration, matching algorithms, and automated data curation deployment.

• Demonstrated expertise in Microservices Architecture design and enterprise integration patterns.

• Strong understanding of Network Protocols, secure data transmission, and distributed systems.

• Mastery of Object-Oriented Programming (OOP) principles.

• Experience with Performance Testing methodologies, API load testing, and volume data optimization.

• Exceptional skills in Software Design Architecture, data modeling, pattern recognition, and entity resolution framework design.

• Proven ability in Software Project Management and leading technical initiatives.

• Excellent communication, leadership, and interpersonal skills to collaborate with data stewards, product managers, and executive stakeholders.