Lead Software Engineer - Python/AWS
Company: JPMorganChase
Location: Columbus
Posted on: April 2, 2026
|
|
|
Job Description:
Description We have an opportunity to impact your career and
provide an adventure where you can push the limits of what's
possible. As a VP, Lead Software Engineer for Big Data and
Analytics at JPMorgan Chase within Consumer and Community Banking
Data Technology team, you will be an integral part of an agile team
that enhances, builds, and delivers trusted, market-leading
technology products in a secure, stable, and scalable way. As a
core technical contributor, you will be responsible for delivering
critical technology solutions across multiple technical areas and
business functions, supporting the firm’s objectives using Java,
Microservices, Python, Spark, Snowflake, and AWS for Business
Banking Data Products. Job Responsibilities Oversee all aspects of
data strategy, governance, data risk management, reporting, and
analytics. Manage risks associated with data use,
retention/destruction, and privacy. Design, develop, code, test,
debug, and deploy scalable and extensible applications. Produce
high-quality code utilizing Test Driven Development techniques.
Participate in retrospectives to drive continuous improvement
within the feature team. Participate in code reviews, ensuring all
solutions align with pre-defined architectural specifications.
Implement automation through Continuous Integration and Continuous
Delivery. Manage cloud development and deployment, supporting
applications in both private and public clouds. Required
Qualifications, Capabilities, and Skills Formal training or
certification in software engineering concepts and 5 years of
applied experience. Advanced knowledge of architecture, design, and
business processes. Full Software Development Life Cycle experience
within an Agile framework. Expert-level skills in Java, AWS,
database technologies, Python, Spark/PySpark, or any ETL
technology. Experience developing and decomposing complex SQL on
RDMS platforms such as Snowflake. Experience with Data Warehousing
concepts (including Star Schema). Practical experience delivering
projects in Data and Analytics, Big Data, Data Warehousing, and
Business Intelligence; familiarity with relevant technological
solutions and industry best practices. Strong understanding of data
engineering challenges and proven experience with data platform
engineering (batch and streaming, ingestion, storage, processing,
management, integration, consumption). Familiarity with multiple
Data & Analytics technology stacks. Awareness of various Data &
Analytics tools and techniques (e.g., Python, data mining,
predictive analytics, machine learning, data modeling, etc.).
Experience with one or more leading cloud providers (AWS, Azure,
GCP). Preferred Qualifications, Capabilities, and Skills Ability to
work quickly and ramp up on new technologies and strategies. Strong
collaboration skills and ability to develop meaningful
relationships to achieve common goals. Appreciation for controls
and compliance processes for applications and data. In-depth
understanding of data technologies and solutions is preferable.
Ability to drive process improvements and implement necessary
changes. Knowledge of industry-wide Big Data technology trends and
best practices.
Keywords: JPMorganChase, Columbus , Lead Software Engineer - Python/AWS, IT / Software / Systems , Columbus, Ohio
