Senior Director of Software Engineering - Head of Cloud/Lake Platforms Engineering

JPMorgan Chase & Co.; Palo Alto (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

A leading financial services firm is looking for a Head of Cloud Lake, Storage, and Compute Platform Services to lead their Data Platforms organization. The role involves managing multiple technical areas, driving technology objectives, and ensuring the adoption of best practices. Candidates should possess extensive cloud experience and a track record of leading complex projects. This position is critical to the firm's data strategy and promotes a culture of diversity and respect.

Qualifications

• 10+ years of applied software engineering experience.
• 5+ years in leading cross-functional teams.
• Experience with large-scale data platforms.

Responsibilities

• Leads technology and process implementations.
• Manages complex projects with multiple stakeholders.
• Drives consensus across competing objectives.

Skills

Leadership in technology and process implementations

Cloud native experience

Project management

Influencing across complex organizations

Agile methodologies

Education

Expertise in Computer Science, Computer Engineering, or Mathematics

Tools

Spark

Informatica

DBT

Java

Python

Job description

Overview

We are seeking a Head of Cloud Lake, Storage, and Compute Platform Services to join our Data Platforms organization. This team is central to our data strategy, enabling diverse users to consistently and rapidly develop products and solutions.

As a Senior Director of Software Engineering at JPMorgan Chase within the Consumer & Community Bank Data Technology team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.

Responsibilities

• Leads multiple technology and process implementations across departments to achieve firmwide technology objectives


• Directly manages multiple areas with strategic transactional focus


• Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business


• Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives


• Manages multiple stakeholders, complex projects, and large cross-product collaborations


• Influences peer leaders and senior stakeholders across the business, product, and technology teams


• Champions the firm’s culture of diversity, opportunity, inclusion, and respect


• Lead the execution of our firm-wide migration to strategic platforms and data


• Is accountable for the delivery and growth of enterprise-grade data platforms with a focus on scalability, availability, capabilities, and performance


• Collaborate with peer teams such as Data Management, Data Publishing, and Data Governance to deliver solutions for key personas, including analysts, data scientists, data engineers, software engineers, AI/ML engineers, operators, and compliance officers


• Elevate the engineering standards within our organization through best practices, coaching, and talent development

Qualifications

• Formal training, or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization


• Experience developing or leading large or cross-functional teams of technologists


• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale


• Experience leading complex projects supporting system design, testing, and operational stability


• Experience with hiring, developing, and recognizing talent


• Extensive practical cloud native experience


• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field


• Expertise in systems and software design for large-scale distributed data solutions


• Experience with large scale data platforms

Preferred qualifications, capabilities, and skills

• Experience working at code level


• Familiarity with data processing and development frameworks like Spark, Informatica, and DBT


• Knowledge of open table formats such as Iceberg and Delta, and their catalog solutions (e.g., Polaris, Unity)


• Proficiency in software development technologies (Java/JS/Python/REST) and methodologies (Agile/Scrum)


• Experience in AI/ML and feature engineering is a plus

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.