Senior Principal Software Engineer - Databricks
Company: JPMorganChase
Location: Jersey City
Posted on: April 1, 2026
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Job Description:
Description 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
experience Expert-level proficiency in Databricks, Apache Spark,
and distributed data processing Hands-on experience with Python
and/or Java application program development with use of automated
unit testing Hands-on practical experience delivering system
design, application development, testing, and operational stability
Hands-on practical experience with terraform development and
understanding of terraform enterprise Hands-on experience with
GitHub / Bitbucket code versioning tool, Jenkins build tool and
pypi / maven artifactory integrations Knowledge 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 Spark Experience in managing product release
lifecycle at enterprise lev el.
Keywords: JPMorganChase, Bridgeport , Senior Principal Software Engineer - Databricks, IT / Software / Systems , Jersey City, Connecticut
