As a Lead Software Engineer at JPMorganChase within the Corporate - Employee Platforms, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
We use AI-assisted development as part of our day-to-day workflow, including GitHub Copilot for coding and native Databricks tools such as Databricks SQL Assistant and Genie to accelerate development, troubleshooting, and self-service analytics—while maintaining strong engineering controls and review practices.
Job responsibilities
- Platform leadership & architecture — Define and drive the technical roadmap for our Databricks lakehouse/database platform (ingestion, storage, modeling, serving) with clear standards and reference patterns.
- Data modeling & database engineering — Design curated datasets (e.g., medallion architecture) using Delta Lake, dimensional/semantic modeling where appropriate, and enforce consistent naming, partitioning, and performance practices.
- Reliability & operations — Build for availability and predictable performance; establish SLOs, runbooks, alerting, incident response, and operational hygiene for pipelines and SQL workloads.
- Security, governance & access controls — Implement and maintain strong governance (e.g., Unity Catalog), least-privilege access, auditing, data classification, and lifecycle management.
- Performance & cost management — Tune Spark/SQL workloads, optimize clusters/warehouses, manage caching and storage patterns, and implement cost observability/chargeback as needed.
- Engineering excellence — Set standards for code quality, testing, CI/CD, branching strategy, documentation, and review. Establish reusable libraries/templates and enforce consistency across teams.
- Mentorship & collaboration — Coach engineers, lead design reviews, and partner with stakeholders to translate business needs into scalable data platform capabilities.
- 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.
- 7+ years in data engineering/platform engineering, with hands-on Databricks experience in production environments.
- Strong proficiency in Spark (PySpark/Scala) and SQL, including performance tuning and troubleshooting.
- Proven experience building and operating data platforms: batch/stream ingestion, transformation frameworks, orchestration, and curated data layers.
- Experience with Data Lake, (DataBricks, SnowFlake, or AWS) table design, and optimization (partitioning, Z-ORDER, file sizing).
- Familiarity with Unity Catalog (or equivalent governance tooling): permissions, catalogs/schemas, lineage/auditing concepts.
- Solid software engineering fundamentals: Git, CI/CD, automated testing, code reviews, modular design, and documentation.
- Experience implementing observability (logs/metrics/traces), data quality checks, and monitoring for pipelines and SQL workloads.
- Strong communication skills and demonstrated ability to lead technical decisions across teams.
- 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
- Databricks features: Workflows, Delta Live Tables (DLT), Structured Streaming, Databricks SQL Warehouses.
- Transformation frameworks (e.g., dbt) and semantic layer patterns.
- Infrastructure-as-code (e.g., Terraform) and automated environment provisioning.
- Experience with regulated-data environments, privacy controls, and enterprise data governance programs.
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
- 7+ years of data engineering or platform engineering experience with hands-on Databricks experience in production environments
- Strong proficiency in Spark, PySpark or Scala, and SQL, including performance tuning and troubleshooting
- Experience building and operating data platforms, including batch and stream ingestion, transformation frameworks, orchestration, and curated data layers
- Experience with data lake table design and optimization, including partitioning, Z-ORDER, and file sizing
- Familiarity with Unity Catalog or equivalent governance tooling, including permissions, catalogs, schemas, lineage, and auditing
- Experience with Git, CI/CD, automated testing, code reviews, modular design, and documentation
- Experience implementing observability, data quality checks, and monitoring for pipelines and SQL workloads
- Strong communication skills and ability to lead technical decisions across teams
- Experience leading effective use of approved AI-assisted software development tools and validating AI outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure input and output handling, resiliency, and security expectations
- Experience coaching engineers on safe and compliant adoption of AI-assisted development practices
- Experience with Databricks Workflows, Delta Live Tables, Structured Streaming, and Databricks SQL Warehouses
- Experience with transformation frameworks such as dbt and semantic layer patterns
- Experience with infrastructure as code, such as Terraform, and automated environment provisioning
- Experience with regulated-data environments, privacy controls, and enterprise data governance programs
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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