Lead Software Engineer - Data/Payments Technology

JPMorgan Chase & Co.•Plano, TX

About The Position

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank’s Global Banking Sales Enablement team, you will contribute to an agile team building and enhancing secure, stable, scalable technology and data products. The role focuses on building and evolving enterprise data products and strengthening Data Engineering capabilities. It calls for a hands-on Data Engineer with deep Databricks and enterprise data platform experience who contributes to solution design and implementation, provides technical leadership, establishes engineering patterns, and helps develop the team.

Requirements

Formal training or certification in software engineering concepts and at least 5 years of applied experience.
At least 10 years of software and/or data engineering experience building enterprise-scale solutions.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced proficiency in one or more programming languages.
Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
Deep hands-on experience with Databricks and distributed data processing technologies.
Strong programming and Data Engineering fundamentals, with experience building production-grade data solutions.
Strong understanding of data architecture, data modeling, data integration, and data product principles.
Experience designing and operating large-scale data platforms and data products in complex enterprise environments.
Strong engineering judgment and ability to independently troubleshoot complex technical problems and influence solution direction.

Nice To Haves

Experience with modern enterprise data platforms and cloud-native data architectures.
Experience supporting real-time, analytical, or AI/ML-oriented data use cases.
Experience delivering data solutions in financial services or another highly regulated environment.
Relevant Databricks, Cloud, or Data Engineering certification.

Responsibilities

Lead the design and development of scalable, reliable, reusable enterprise data products.
Provide hands-on technical leadership across solution design, implementation, code reviews, troubleshooting, and production readiness.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting validation standards and promoting effective patterns.
Use software development lifecycle tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized through automation.
Establish and promote effective Data Engineering patterns and standards across the team.
Design solutions supporting analytical, operational, reporting, and AI-driven use cases.
Drive data quality, reliability, observability, governance, performance, and scalability across data products.
Partner with architects, product teams, engineers, and data producers and consumers to turn business needs into sustainable data solutions.
Mentor engineers and help build the team’s Data Engineering capability.
Identify opportunities to simplify platforms, improve engineering productivity, and increase reuse.

Benefits

Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
Comprehensive health care coverage.
On-site health and wellness centers.
Retirement savings plan.
Backup childcare.
Tuition reimbursement.
Mental health support.
Financial coaching.

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