Data Platform Principal Software Engineer
The Principal Software Engineer will architect and govern agentic AI-enabled engineering workflows to improve development speed and code quality at scale. The role involves creating scalable software frameworks, providing technical leadership, and ensuring secure, stable, and compliant delivery within the firm's corporate technology organization.
- Compensation
- Not disclosed
- Location
- Jersey City, NJ, United States
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- 7+ years of applied software engineering experience
- Hands-on experience in system design, application development, testing, and operational stability
- Expertise in one or more programming languages
- Experience designing and leading adoption of agentic AI-enabled development practices
- Understanding of responsible AI use, security, and risk-based governance
- Practical cloud native experience
- Ability to communicate with senior leaders and executives
Full description
As a Principal Software Engineer in Corporate Technology, you will be a senior individual contributor responsible for architecting, building, and operating firmwide data platform capabilities that enable secure, scalable, and reliable data products. You will set technical direction, drive engineering excellence, and partner across technology, product, controls, and business teams to deliver measurable outcomes across JPMorganChase.
Job Responsibilities
- Define and drive the technical strategy and roadmap for key data platform capabilities including ingestion, transformation, orchestration, metadata, lineage, and data quality.
- Design and implement scalable platform services and reusable frameworks that standardize data onboarding, curation, and consumption.
- Own end-to-end delivery for complex initiatives from discovery and architecture through build, rollout, and production readiness.
- Establish and enforce engineering standards for resiliency, performance, observability, capacity management, and cost efficiency.
- Lead design reviews and provide reference architectures, patterns, and guardrails adopted by multiple engineering teams.
- Build and maintain automation for CI/CD, infrastructure as code, policy as code, and repeatable onboarding to reduce operational toil.
- Drive operational excellence through SLOs, monitoring, incident response, root cause analysis, and continuous improvement.
- Partner with security, risk, and controls stakeholders to ensure platform solutions meet regulatory, audit, and data governance requirements.
- Influence senior stakeholders through clear communication of trade-offs, risks, and progress using metrics and outcomes.
- Mentor and raise the bar for engineering practices through hands-on leadership, code reviews, and technical community engagement.
Required Qualifications, Capabilities, and Skills
- Extensive experience delivering large-scale software platforms or data platforms in complex enterprise environments.
- Strong distributed systems and platform engineering expertise including reliability, scalability, fault tolerance, and service design.
- Hands-on experience with data platform domains such as batch and streaming ingestion, orchestration, data processing, and data serving patterns.
- Proven ability to build production-grade systems with robust testing, deployment automation, monitoring, and operational controls.
- Strong knowledge of data governance and control concepts including access management, encryption, retention, auditability, and privacy.
- Proficiency in one or more modern programming languages and strong API and systems design skills.
- Demonstrated ability to lead through influence as a senior individual contributor across multiple teams and stakeholders.