Lead Azure Data Engineer.

Role: Azure Lead Data Engineer. Skills: Azure | Java | Microservices | Kafka | Snowflake| APIS. Location: Chicago IL, Experience: 10 + Years We are seeking an experienced Azure Lead Data Engineer with deep expertise in Azure, Java Spring Boot, microservices, Kafka-based streaming ingestion, Snowflake/Snowpipe, and API engineering. Experience in Finance/Banking domains is highly preferred. Key Responsibilities • Architect, design, and deliver scalable microservices using Java Spring Boot and cloud-native patterns. • Build high throughput streaming pipelines using Kafka, EventHub, and Snowpipe for real-time ingestion. • Lead development of Azure-based data platforms, including ADLS, ADF, Databricks, and CI/CD automation. • Design and implement EVENT DRIVEN architecture and related APIs, integration layers, and event-driven workflows. • Optimize performance, reliability, and cost across distributed data systems. • Collaborate with architecture, product, and business teams to deliver compliant, secure financial data solutions. Required Skills • 10+ years of engineering experience with strong hands-on expertise in: • Azure data services, Java Spring Boot, microservices, Kafka, Snowflake/Snowpipe, SQL/Python, API design • Proven experience building streaming ingestion and cloud-native data platforms. • Strong understanding of financial data processing, data models, regulatory considerations, and secure design patterns. • Experience leading teams, performing code reviews, and enforcing engineering best practices Preferred: • Terraform, CI/CD (Azure DevOps), event-driven design. • Experience in banking platforms, payments, risk, or regulatory reporting.