Lead Software Engineer, Data Governance Lead at JPMorganChase within Corporate Technology in Plano, Texas, United States. You will be part of an agile team that builds, enhances, and delivers trusted, secure, scalable technology products. As a core technical contributor, you will implement end-to-end data governance solutions that operationalize enterprise data standards, policies, and procedures. You will drive adoption of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reusable patterns across the team. You will apply SDLC toolchain knowledge, including AI-assisted development and automation, to increase automation value. You will create and maintain enterprise data models (conceptual, logical, physical) and metadata artifacts such as business glossaries and data dictionaries to enable consistent data understanding and usage. You will implement and administer data cataloging and ensure data lineage tracking from source through transformations to consumption. You will build governed ETL/ELT pipelines and patterns aligned to governance requirements and implement data quality controls, including profiling, rule definitions, monitoring, and remediation workflows. You will partner with cross-functional stakeholders (architecture, analytics, compliance) to ensure governance controls are adopted and sustainable. Required qualifications include expert proficiency in ETL/ELT development, data integration patterns, and distributed processing; dem

Lead Software Engineer, Data Governance Lead at JPMorganChase within Corporate Technology in Plano, Texas, United States. You will be part of an agile team that builds, enhances, and delivers trusted, secure, scalable technology products. As a core technical contributor, you will implement end-to-end data governance solutions that operationalize enterprise data standards, policies, and procedures. You will drive adoption of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reusable patterns across the team. You will apply SDLC toolchain knowledge, including AI-assisted development and automation, to increase automation value. You will create and maintain enterprise data models (conceptual, logical, physical) and metadata artifacts such as business glossaries and data dictionaries to enable consistent data understanding and usage. You will implement and administer data cataloging and ensure data lineage tracking from source through transformations to consumption. You will build governed ETL/ELT pipelines and patterns aligned to governance requirements and implement data quality controls, including profiling, rule definitions, monitoring, and remediation workflows. You will partner with cross-functional stakeholders (architecture, analytics, compliance) to ensure governance controls are adopted and sustainable. Required qualifications include expert proficiency in ETL/ELT development, data integration patterns, and distributed processing; dem