Senior Lead Software Engineer, UAT Data Platform & Governance Lead

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Columbus, OH
Posted: 21 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $197k

$162k most similar roles pay here $242k

This listing doesn't post a salary. Most similar roles pay $169,550–$223,750.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, UAT Data Platform & Governance Lead

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As a Sr Lead Software Engineer - UAT Data Platform & Governance Lead within Asset & Wealth Management, you will join an agile team to define the strategy, operating model, and engineering execution for UAT data provisioning at scale. You will build and evolve a reusable UAT Data Platform that delivers reliable datasets across multiple Sources of Record through standardized patterns, governance controls, and automated orchestration to improve environment stability and testing outcomes. Your daily responsibilities include managing the platform roadmap, establishing access management and auditability, and leading end-to-end orchestrations for data refreshes. You will utilize Java, Python, or Go to build APIs and distributed services while leveraging CI/CD pipelines and cloud-native patterns. The role focuses on solving complex technical challenges in test data management and automated workflow execution within a regulated environment.

Skills

Java Python Go CI/CD Cloud Native Distributed Services infrastructure-as-code Data Platform Orchestration Test Data Management Platform Engineering System Design Automation Pipelines Service Observability

What you'll do

Define the strategy, reference architecture, and "golden path" standards for UAT data provisioning.
Own the roadmap for the UAT Data Platform to improve dataset availability and environment stability.
Establish governance controls including access management, auditability, and quality validation for UAT data.
Lead the end-to-end orchestration of UAT refreshes across multiple Sources of Record.
Build self-service capabilities for automated workflow execution and status traceability for users.
Drive engineering excellence through secure coding, CI/CD pipelines, and incident response discipline.
Act as the accountable technical leader for design decisions regarding platform scalability and stability.

What we're looking for

Formal training or certification in software engineering concepts and 5+ years of applied experience.
Hands-on experience delivering system design, application development, testing, and operational stability.
Experience designing and building workflow-driven automation platforms such as orchestration services or data platforms.
Strong programming skills in Java, Python, or Go with experience building APIs and distributed services.
Experience with CI/CD, automation pipelines, and operational practices like runbooks and incident response.
Ability to manage complex cross-system dependencies and execute coordinated releases across multiple stakeholders.
Advanced knowledge of software applications and technical processes in disciplines such as cloud, AI, or machine learning.
Practical cloud native experience.
Experience with test data management or UAT environment refresh processes in regulated environments (preferred).
Familiarity with data protection patterns, privacy-by-design, and controlled data access models (preferred).
Experience with event-driven systems, scheduling/orchestration frameworks, and platform reliability engineering (preferred).
Exposure to modern cloud-native patterns like containers, infrastructure-as-code, and service observability (preferred).
Experience in Platform Engineering including building reusable services and self-service workflows (preferred).
Systems Thinking regarding data flows and failure modes across multiple sources of record (preferred).