Lead Software Engineer - Java / Flink

• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Lead projects, teams, or serve as a peer mentor
• Lead the product development for key CIB Data Tech products leveraging modern technologies & cloud native architecture
• Architect and optimize batch processing workflows using Apache Flink and other distributed computing frameworks
• Develop and maintain data storage solutions using Parquet format on S3, integrated with cataloging systems like Apache Iceberg
• Collaborate with cross-functional teams including data scientists, analysts, and platform engineers to ensure seamless data delivery
• Mentor junior engineers, conduct code reviews, and enforce engineering best practices
• Stay current with industry trends and emerging technologies in data engineering and cloud-native architectures

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 12+ years of software engineering experience with deep expertise in Java, Spring/Spring Boot, and microservices-based architectures
• Extensive hands-on experience with large-scale data processing and Lakehouse technologies such as Apache Flink, Apache Iceberg, and Amazon S3
• Experience of cloud platforms like GCP, or Azure
• Proven ability to drive product development end-to-end, including system architecture, technical roadmaps, and cross-functional alignment
• Familiarity with Large Language Model (LLM) ecosystems, including prompt engineering, Retrieval-Augmented Generation (RAG), and Model Context Protocols (MCP)
• Experience building streaming and ETL platforms, including data migration strategies from legacy to cloud-native architectures
• Experience with Python will be an added advantage
• Prior experience in leading teams or projects in data engineering capacity

Experience with Python will be an added advantage