Senior Data Engineer — AI-Driven Delivery & Governance

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. within Corporate Technology seeks a Lead Software Engineer to drive data governance initiatives and AI-assisted coding practices in a secure, scalable tech environment.

You will build data models and metadata standards, while coordinating with architecture, analytics, and compliance teams. You will implement end-to-end data governance pipelines, maintain data catalogs and lineage, and apply best practices across the SDLC to enhance code quality and delivery speed.

Qualifications

• Expert in ETL/ELT development and data integration.
• Experience leading AI-assisted software development with coding, review, and testing.
• Understanding of responsible AI and secure data handling.

Responsibilities

• Implement and maintain end-to-end data governance solutions that operationalize enterprise data standards, policies, and procedures.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Create and maintainenterprise data models(conceptual, logical, physical) that represent business processes and support analytics.
• Define, document, and maintainmetadata standards, includingbusiness glossaryanddata dictionaryartifacts to enable consistent data understanding and usage.
• Implement and administerdata catalogingcapabilities and ensuredata lineage trackingfrom source through transformations to consumption.
• Build and maintain governedETL/ELT pipelinesand patterns that align to governance requirements.
• Implement technicaldata quality controls, including profiling, rule definition, monitoring, and issue remediation workflows.
• Partner with cross-functional stakeholders (architecture, analytics, compliance) to ensure governance controls are adopted and sustainable.

Skills

ETL/ELT development

Data integration

Distributed processing

AI-assisted development

Data governance

Responsible AI

Data modeling

Dimensional modeling

Databricks

Snowflake

AWS S3

Teradata

Erwin

PowerDesigner

Data architecture

Tools

Databricks

Delta Lake

Unity Catalog

Databricks SQL

Snowflake

AWS S3

Teradata

Erwin

PowerDesigner

Job description

JPMorgan Chase & Co. within Corporate Technology seeks a Lead Software Engineer to drive data governance initiatives and AI-assisted coding practices in a secure, scalable tech environment.

You will build data models and metadata standards, while coordinating with architecture, analytics, and compliance teams. You will implement end-to-end data governance pipelines, maintain data catalogs and lineage, and apply best practices across the SDLC to enhance code quality and delivery speed.