Senior Lead Software Engineer - Risk Technology Data Platform & Strategy

If you're energized by building platforms at scale, driving transformation, and seeing your work influence an entire enterprise, this role offers the technical depth, strategic ownership, and career growth that few opportunities can match.

This is a highly visible leadership role where you'll work with cutting-edge technologies including Databricks, AWS, Spark, and modern Lakehouse architectures while solving complex, large-scale engineering challenges.

Beyond the technology, you'll have the opportunity to collaborate directly with senior leaders, mentor talented engineering teams, and leave a lasting impact on how data is managed, governed, and consumed across the organization.

As a Senior Lead Software Engineer at JPMorganChase within Corporate Risk Technology, you will lead the architecture and delivery of an enterprise-scale data platform that enables trusted risk data products in a secure, stable, and scalable way.

Job responsibilities


* Owns the technical direction of the platform and lead architecture and design leveraging a Lakehouse on Databricks and AWS, including multi-tenant patterns, cataloging, storage formats (e.g., Delta Lake / Apache Iceberg), and data product publishing.


* Delivers secure, production-grade code for data-intensive systems, including ingestion, transformation, and serving pipelines across batch, streaming, and change data capture (CDC).


* Scales tenant onboarding through self-service by automating onboarding, schema/catalog provisioning, and pipeline orchestration.


* Build infrastructure-as-code and deployment pipelines using Terraform (or equivalent), CI/CD automation, and preventative controls/guardrails aligned to firm policy.


* Makes data governance, entitlements, and data protection integral to the platform design, including least-privilege access controls, approval workflows, and auditability.


* Ensures resilience, observability, and operational excellence by defining SLOs/SLAs, instrumenting services/pipelines (metrics/logs/traces), and leading incident and root-cause analysis in partnership with SRE.


* Acts as a subject-matter expert for risk data engineering and guide teams on architecture trade-offs, data quality, lineage, and reproducibility.


* Leads modernization and technology evaluation, balancing innovation with cost, security, supportability, and operational readiness.


* Drives adoption of enterprise-authorized AI-assisted engineering practices (e.g., code review/refactoring support, test acceleration, troubleshooting support) with clear validation expectations for correctness, performance, and security.


* Influences senior stakeholders across Risk and Technology by aligning roadmaps, prioritizing feature requests, and resolving control findings.


* Builds and lead a high-performing engineering culture through mentoring, strong engineering practices, and a culture of ownership and inclusion.

Required qualifications, capabilities, and skil...