Data Platform Principal Software Engineer

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. Strong written and verbal communication skills with the ability to convey complex technical concepts to varied audiences. Proven track record of being a highly motivated self-starter Preferred Qualifications, Capabilities, and Skills Experience building self-service platform products and improving developer experience through portals, templates, and golden paths. Experience operating platforms in cloud and containerized environments with infrastructure automation. Experience implementing metadata-driven architectures and standardized data product patterns. Experience building controls for sensitive data including data classification, policy enforcement, and privacy-by-design. Experience in financial services or other highly regulated industries.