Azure Developer (Full Stack Azure Data Engineer)

About the role

The Technology team at R Systems is a progressive, global organization dedicated to enhancing its user community's impact through technology. It manages the technical infrastructure, end-user computing, mobile, and business application platforms necessary for a global, multi-asset class enterprise to operate reliably, scalably, and securely.

Responsibilities

• Design, build, and maintain end-to-end data pipelines supporting the enterprise data platform.
• Develop and optimize SQL Server models, stored procedures, and data transformations.
• Build backend services and integrations using C# and .NET.
• Develop and maintain Azure-based solutions including Azure Data Factory and Azure Functions.
• Design and develop APIs and service layers to expose data to downstream systems.
• Implement event-driven and batch processing patterns where appropriate.
• Ensure data integrity, performance, and reliability across the platform.
• Implement monitoring, logging, and alerting across pipelines and services.
• Collaborate with DevOps, data engineering, and business teams to deliver solutions.
• Contribute to coding standards, governance, and development best practices.
• Support production deployments and troubleshoot issues across the stack.

Requirements

• 10+ years of experience in software or data engineering roles.
• Strong SQL skills including data modeling and performance tuning.
• Hands-on experience with C# and .NET development.
• Experience working within Microsoft Azure environments (ADF, Functions).
• Experience building APIs and service-based architectures.
• Strong understanding of ETL/ELT patterns and data pipeline design.
• Experience working with large-scale or distributed data systems.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with modern cloud-native data architectures.
• Hands-on experience with Apache tools (Kafka, Spark, Flink) and Java-based frameworks.
• Experience with event-driven architectures (e.g., Event Hubs).
• Familiarity with Azure App Configuration.
• Experience with Azure API Management (APIM).
• Experience with CI/CD pipelines and DevOps practices.
• Experience in financial services or investment management environments.