Retail Engineering Lead - Java, Data & Cloud Platforms

Retail Engineering Lead - Java, Data & Cloud Platforms

Location: Charlotte, NC (Hybrid preferred - 3 days onsite)

Key Responsibilities

Application & Platform Engineering

• Lead design and development of Java/Spring Boot microservices supporting retail systems (customer, order management, pricing, promotions, loyalty, notifications)

• Drive modernization of legacy systems to cloud-native, microservices-based architectures

• Ensure high availability, performance, and scalability of platforms handling high-volume retail transactions

Data Engineering & Integration

• Design and implement data ingestion, transformation, and reconciliation pipelines across multiple internal and external systems

• Develop and optimize complex SQL and PL/SQL queries, stored procedures, and batch processes for large-scale data processing

• Integrate application platforms with data warehouses, reporting, and analytics tools to enable business insights

• Support near real-time and event-driven data flows using Kafka/RabbitMQ

• Ensure data quality, consistency, lineage, and traceability across systems

• Partner with analytics, reporting, and business teams to translate data needs into technical solutions

Cloud, DevOps & Reliability

• Architect and deploy solutions on AWS (EC2, RDS, S3, Lambda, CloudWatch, etc.)

• Build and maintain CI/CD pipelines for both application and data workloads

• Implement monitoring, alerting, and observability for application and data pipelines

• Lead root-cause analysis and resolution of data and platform-related production issues

Technical Leadership

• Serve as technical lead for onshore and offshore teams, ensuring delivery quality and adherence to architecture standards

• Conduct design and code reviews covering application logic, data models, and performance

• Mentor engineers on best practices for data engineering, cloud, and microservices

• Collaborate with Product, Architecture, QA, and DevOps to align delivery with business priorities

Required Skills & Experience

• 12+ years of experience in software engineering with strong focus on Java (8+), Spring Boot, Spring Batch, Spring Data JPA

• Hands-on experience with data integration, ETL, batch processing, and reconciliation

• Strong expertise in SQL & PL/SQL, data modeling, and performance tuning

• Experience with event-driven architectures using Kafka and/or RabbitMQ

• Solid experience deploying and operating solutions on AWS cloud

• Experience with CI/CD and DevOps (Jenkins, GitLab, Maven/Gradle, Docker, Kubernetes)

• Exposure to frontend frameworks (Angular / React) is a plus

• Strong communication and leadership skills with experience guiding distributed teams

Retail / Data Domain Experience (Preferred)

• Experience supporting retail or e-commerce data platforms, including customer, order, product, pricing, and promotion data

• Familiarity with high-volume transactional data and analytics pipelines

• Exposure to BI / reporting tools (e.g., Superset, Looker, Tableau, Power BI)

• Understanding of omnichannel retail data flows and customer analytics