Join JPMorgan Chase as a Senior Principal Software Engineer – Shape the Future of Data & Analytics

Are you passionate about building innovative data solutions that drive real business impact? The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is leading the way in transforming how the firm leverages data, artificial intelligence, and machine learning to create new products, boost productivity, and manage risk responsibly.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As a Senior Principal Software Engineer at JPMorgan Chase on our AIML Data Platforms & Chief Data and Analytics  Team, you’ll play a pivotal role in architecting and implementing advanced data platforms that power insights and innovation across the company. You’ll work with cutting-edge technologies like Databricks, Spark, and cloud platforms, collaborating with talented teams to solve complex challenges and deliver high-quality solutions.

Job Responsibilities:

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Develops secure high-quality production code, and reviews and debugs code written by others

Lead the design and development of scalable data pipelines and analytics solutions using Databricks, Spark, and cloud platforms

Define and implement best practices for data engineering, data lake architecture, and distributed computing

Solves the companies most challenging cloud data platform problems by building innovative technical solutions around Data Lake Tools.

Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Adds to team culture of diversity, opportunity, inclusion, and respect

Mentor and guide technical teams, fostering a culture of continuous learning and excellence in software engineering practices

 

Required qualifications, capabilities, and skills 

Formal training or certification on software engineering concepts and 10+ years applied experienceExpert-level proficiency in Databricks, Apache Spark, and distributed data processingHands-on experience with Python and/or Java application program development with use of automated unit testingHands-on practical experience delivering system design, application development, testing, and operational stabilityHands-on practical experience with terraform development and understanding of terraform enterpriseHands-on experience with GitHub / Bitbucket code versioning tool, Jenkins build tool  and pypi / maven artifactory integrationsKnowledge of Big Data distributed compute frameworks like Spark

 

 

Preferred qualifications, capabilities, and skills 

 

Experience with Agile development processes, as needed (SCRUM/KANBAN) using JIRA.Experience in Data pipelines using SparkExperience in managing product release lifecycle at enterprise level.