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As a Lead Software Engineer at JPMorgan Chase as a part of Consumer and community banking technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
Job Responsibilities:
- Lead evaluation sessions with external vendors, startups, and internal teams to probe architectural designs, technical credentials, and applicability within existing systems and information architecture.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse of effective patterns.
- Apply knowledge of tools within the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to improve value realized by automation.
Lead architecture and engineering of large-scale data processing and platform solutions using Python, and Java.
Design and implement robust ETL/ELT pipelines, including ingestion, transformation, validation, reconciliation, and publishing across curated layers.
Build and operationalize Medallion architecture patterns for data quality, lineage, governance, and reuse.
Develop and optimize solutions on Data Lakes partitioning strategies.
Ensure engineering best practices: code quality, testing, CI/CD, observability, security-by-design, and operational readiness.
Drive performance optimization across Spark jobs (shuffle tuning, joins, caching, skew handling), storage layout, and Snowflake workloads.
Partner with product owners, architects, data governance, and downstream consumers to translate requirements into resilient technical solutions.
Required qualifications, skills, and capabilities:
- Formal training or certification on software engineering concepts and 5+ years of applied experience.
- Demonstrated experience leading effective use of approved AI-assisted software development tools, including setting expectations for validating outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
Strong hands-on development skills in Python and/or Java (ideally both).
Strong experience with Apache Spark and distributed data processing concepts.
Proven expertise building ETL/ELT pipelines and data integration frameworks.
Strong understanding of data storage/serialization and table/file formats, including Parquet and Avro.
Deep understanding of Big Data ecosystem fundamentals (distributed compute, fault tolerance, partitioning, data quality, metadata management).
Strong experience implementing Medallion architecture and Data Lake design principles.
Strong working knowledge of Snowflake including loading/unloading patterns and performance considerations.
Ability to lead technical decisions, drive alignment across teams, and communicate clearly with technical and non-technical stakeholders.
Preferred qualifications, skills, and capabilities:
Experience with data orchestration frameworks and pipeline automation.
Experience with data governance concepts (lineage, cataloging, access controls, PII handling) and production operations.
Exposure to streaming/event-driven patterns and incremental processing strategies.
Experience designing reusable data products, frameworks, or platform components used by multiple teams.
Domain experience in highly regulated environments (risk, audit, compliance, privacy).
Experience with lakehouse patterns, table formats (e.g., ACID table layers), and data platform modernization programs.
Experience with cost optimization and FinOps-style controls for big data workloads.
Skills Required
- Formal training or certification in software engineering concepts
- At least 5 years of applied software engineering experience
- Experience leading approved AI-assisted software development practices and validating outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
- Experience coaching engineers on safe and compliant AI-assisted development
- Strong hands-on development skills in Python and/or Java
- Strong experience with Apache Spark and distributed data processing
- Expertise building ETL/ELT pipelines and data integration frameworks
- Understanding of data storage, serialization, and table/file formats including Parquet and Avro
- Understanding of distributed compute, fault tolerance, partitioning, data quality, and metadata management
- Experience implementing Medallion architecture and data lake design principles
- Strong working knowledge of Snowflake loading, unloading, and performance optimization
- Ability to lead technical decisions, align teams, and communicate with technical and non-technical stakeholders
- Experience with data orchestration frameworks and pipeline automation
- Experience with data governance, lineage, cataloging, access controls, PII handling, and production operations
- Exposure to streaming, event-driven patterns, and incremental processing
- Experience designing reusable data products, frameworks, or platform components
- Domain experience in regulated environments involving risk, audit, compliance, or privacy
- Experience with lakehouse patterns, ACID table formats, and data platform modernization
- Experience with cost optimization and FinOps controls for big data workloads
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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