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 Lead Software Engineer at JPMorganChase within the Corporate Technology team, you will design, develop, and deliver scalable, consumer-aligned data products that power executive reporting , analytics, AI and business applications. This role is ideal for an experienced software engineer who has a deep expertise in data development and is passionate about transforming complex enterprise data into trusted reusable products.
The ideal candidate has extensive experience with Databricks, SQL, PySpark, Oracle and modern data engineering practices. They will partner with the business stake holders, analytics teams, UI developers, and product owners to build high quality data products that enable self-service analytics, dashboards, AI solutions, and operational reporting.
Job Responsibilities
- Design, develop, and maintain consumer-aligned data products that support enterprise reporting analytics
- Develop curated datasets (Delta Lake tables) and analytics-ready models to support reporting, dashboards, and decision-making.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Design efficient, maintainable SQL queries, views, stored procedures, and reusable data models
- Build reusable data assets that support dashboards, AI use cases, automation, and business applications
- Ensure data quality, governance, lineage, and documentation are incorporated into all solutions
- Optimize data processing performance and identify opportunity to improve scalability and efficiency
- Collaborate closely with frontend developers, analytics engineers, UX Designers and product owners
- Stay current on emerging technologies and recommend improvements in cloud data architecture , AI, and automation
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 8+ years in software engineering and/or data application development.
- Expert-level SQL development experience, including query tuning and performance optimization.
- Extensive experience with Databricks and the Databricks Lakehouse Platform.
- Strong experience building data applications and pipelines using PySpark.
- Experience with Oracle databases and enterprise data architecture / integration patterns.
- Proven ability to design scalable, reusable data products for business consumers, grounded in strong data modeling (including dimensional modeling).
- Experience with API integrations and consuming/combining data from multiple enterprise sources.
- Operational excellence and modern delivery practices: incident response (triage/rollback/mitigation/postmortems), data lineage & impact analysis mindset, Agile methodologies, CI/CD, and strong analytical/communication/problem-solving skills.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred Qualifications, Capabilities, and Skills
Experience building executive dashboards using Tableau, Qlik, or Power BI.
- Experience supporting AI, machine learning, or Generative AI initiatives.
- Experience with automation technologies and workflow orchestration.
- Experience designing semantic layers or enterprise data products.
- Familiarity with cloud platforms such as AWS or Azure.
Experience mentoring engineers and leading technical solution design.
About Us
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 on software engineering concepts and 5+ years applied experience
- 8+ years in software engineering and/or data application development
- Expert-level SQL development experience, including query tuning and performance optimization
- Extensive experience with Databricks and the Databricks Lakehouse Platform
- Strong experience building data applications and pipelines using PySpark
- Experience with Oracle databases and enterprise data architecture/integration patterns
- Proven ability to design scalable, reusable data products and strong data modeling (including dimensional modeling)
- Experience with API integrations and combining data from multiple enterprise sources
- Operational excellence and modern delivery practices: incident response, data lineage & impact analysis, Agile, CI/CD
- Demonstrated experience leading approved AI-assisted software development tools and setting validation expectations
- Strong understanding of responsible AI use, data sensitivity, secure handling, and resiliency/security expectations
- Experience building executive dashboards using Tableau, Qlik, or Power BI
- Experience supporting AI, machine learning, or Generative AI initiatives
- Experience with automation technologies and workflow orchestration
- Experience designing semantic layers or enterprise data products
- Familiarity with cloud platforms such as AWS or Azure
- Experience mentoring engineers and leading technical solution design
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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