Embrace this pivotal role as an essential member of a high-performing team dedicated to reaching new heights in data engineering. Your contributions will be instrumental in shaping the future of one of the world's largest and most influential companies.
As a Senior Lead Software Engineer at JPMorganChase within Consumer & Community Banking Risk Technology, you are an integral part of an agile team that designs, builds, and delivers the data utilities and platforms our modeling, analytics, and risk partners depend on. This is a hands-on engineering role — you lead through technical depth, design authority, and the code you write. You will lead a Scrum team building cutting-edge data utilities, setting the technical direction and raising the engineering bar for everyone around you. Leverage your deep technical expertise and problem-solving capabilities to drive significant business impact and tackle a diverse array of challenges spanning real-time and batch data platforms, multiple data architectures, and a wide range of data consumers.
Job responsibilities
- Design, build, and deliver reusable frameworks and platforms that support both high-throughput real-time applications and large-scale batch processing — including Spark workloads over datasets spanning billions of records — in a secure, stable, and scalable way
- Write production code daily as the senior technical contributor on the team; lead by example on design quality, testing, and operational readiness
- Lead a Scrum team building cutting-edge data utilities, setting technical direction, decomposing complex problems into deliverable work, and unblocking engineers without holding a reporting line
- Build and develop the team's technical capability — mentoring engineers, raising code-review standards, growing depth in the platform stack, and creating the conditions for a self-reliant, high-performing team
- Provide recommendations and insight on data management and governance procedures applicable to the acquisition, maintenance, validation, and utilization of data — spanning Data Governance, Data Quality, Data Profiling, and Data Lineage
- Use the latest enterprise-authorized generative AI and agentic AI capabilities to accelerate design, implementation, testing, and technical documentation — validating outputs and handling data according to sensitivity and security requirements
- Design and deliver trusted data collection, storage, access, and analytics platform solutions across AWS, Databricks, and Snowflake
- Build streaming and low-latency serving components using Kafka, Cassandra, and related AWS services to support real-time consumption
- Partner closely with product, architecture, modeling, and model-deployment teams to understand data requirements and deliver the engineering that feeds and serves them
- Apply reuse-first, AI-assisted practices within delivery and operational routines — ensuring traceability, auditability, and alignment to resiliency and security expectations
- Present technical designs, platform metrics, and data insights to engineering and business stakeholders through clear visual delivery
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong hands-on programming expertise in Java, Python, and Scala
- Demonstrated experience building frameworks and platforms — not just applications — that other teams adopt and build on
- Proven experience delivering both high-throughput real-time systems and high-volume Spark processing over very large datasets, with a working command of performance tuning at scale
- Deep hands-on experience with AWS (compute, serverless, managed data services, IAM) and Databricks — including Unity Catalog, Delta Lake, Lakeflow, Delta Live Tables, Catalog Sharing, fine-grained access control, and SQL Warehouses
- Hands-on experience with Snowflake in a production data platform environment
- Working experience with Kafka, Cassandra, and related AWS streaming and NoSQL offerings
- Strong understanding of both relational and NoSQL databases, including data modeling trade-offs between them
- Demonstrated experience using enterprise-authorized generative AI capabilities to accelerate engineering delivery, with strong validation habits and awareness of data sensitivity
- Experience working on AI/ML systems, with a solid understanding of core model families — decision trees, ensemble methods, and neural networks — and a conceptual understanding of transformer models
- Mastery of Agile/Scrum delivery in practice
Preferred qualifications, capabilities, and skills
- Experience mentoring and growing engineers and building team technical capability without formal management authority
- AWS, Databricks, and/or Snowflake certifications
- Strong grasp of Data Governance, Data Quality, Data Profiling, and Data Lineage in regulated environments
- Hands-on experience with feature provisioning for ML — including Feature Store on Unity Catalog
- Experience adopting agentic AI development tooling on a team and measurably accelerating deliver
- Exposure to cloud migration or platform modernization at scale
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering concepts and 5+ years of applied experience
- Strong hands-on programming expertise in Java, Python, and Scala
- Experience building reusable frameworks and platforms adopted by other teams
- Experience delivering high-throughput real-time systems and high-volume Spark processing over very large datasets
- Performance tuning experience at scale
- Deep hands-on experience with AWS, including compute, serverless, managed data services, and IAM
- Hands-on Databricks experience, including Unity Catalog, Delta Lake, Lakeflow, Delta Live Tables, Catalog Sharing, fine-grained access control, and SQL Warehouses
- Production experience with Snowflake in a data platform environment
- Working experience with Kafka, Cassandra, and related AWS streaming and NoSQL services
- Strong understanding of relational and NoSQL databases and data modeling trade-offs
- Experience using enterprise-authorized generative AI capabilities with output validation and data-sensitivity awareness
- Experience working on AI/ML systems and understanding decision trees, ensemble methods, neural networks, and transformer models
- Mastery of Agile/Scrum delivery
- Experience mentoring engineers and building technical capability without formal management authority
- AWS, Databricks, and/or Snowflake certifications
- Knowledge of Data Governance, Data Quality, Data Profiling, and Data Lineage in regulated environments
- Hands-on feature provisioning for machine learning, including Feature Store on Unity Catalog
- Experience adopting agentic AI development tooling and measurably accelerating delivery
- Exposure to cloud migration or platform modernization at scale
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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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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