Sr. Lead Software Engineer - Data Engineer

Experteer Overview As a Senior Lead Software Engineer at JPMorganChase, you will guide agile teams to deliver trusted, scalable technology for Securities Services. You’ll drive architectural decisions and implement secure production-grade code across multiple technologies, partnering with business and vendor teams. Your work will shape enterprise data, semantic layers, and cloud pipelines to support complex financial workflows. This role offers impact through advanced engineering, cross-functional collaboration, and exposure to cutting-edge AI-enabled platforms. Compensation / Benefits * Provide technical guidance to business and technical teams, contractors, and vendors * Architect, design, develop, and troubleshoot software solutions with innovative approaches * Write secure production code in Python, Java, and AI-enabled tooling; maintain robust algorithms * Create architecture and design artifacts for complex applications ensuring design constraints are met * Implement enterprise semantic/ontology layer with agentic metadata mining * Design and implement robust data ingestion and curation pipelines to cloud, Knowledgebase, Databricks * Contribute to engineering communities of practice and explore emerging technologies * Influence product design, functionality, and technical operations * Promote firmwide SDLC frameworks, tools, and practices * Advocate for leading-edge technologies and cross-functional collaboration Tasks * Formal training or certification in software engineering concepts * 5+ years of applied software engineering experience * Hands-on experience in system design, application development, testing, and operational stability * Advanced proficiency in Python, Spark, Java, and SQL * Experience in data and semantic modeling * Experience with agentic AI frameworks (ADK, LangChain/LangGraph, AutoGen, CrewAI) * Proven expertise in cloud, data platforms, AI/ML, and software processes * Strong grasp of agile methodologies, CI/CD, resiliency, and security best practices * Ability to work independently with minimal oversight * Background in Computer Science, Computer Engineering, Mathematics, or related field Key requirements *

semantic/ontology layer with agentic metadata mining * Design and implement robust data ingestion and curation pipelines to cloud, Knowledgebase, Databricks * Contribute to engineering communities of practice and explore emerging technologies * Influence product design, functionality, and technical operations * Promote firmwide SDLC frameworks, tools, and practices * Advocate for leading-edge technologies and cross-functional collaboration Tasks * Formal training or certification in software engineering concepts * 5+ years of applied software engineering experience * Hands-on experience in system design, application development, testing, and operational stability * Advanced proficiency in Python, Spark, Java, and SQL * Experience in data and semantic modeling * Experience with agentic AI frameworks (ADK, LangChain/LangGraph, AutoGen, CrewAI) * Proven expertise in cloud, data platforms, AI/ML, and software processes * Strong grasp of agile methodologies, CI/CD, resiliency, and security a and practices * Ability to work independently with minimal oversight * Background in Computer Science, Computer Engineering, Mathematics, or related field Key requirements *