Leads development and operation of secure, scalable data platforms, pipelines, and data products. Designs AWS-based data engineering solutions using Python, Spark, Databricks, and related services; develops semantic layers with Iceberg and APIs; and implements CI/CD with Terraform. Responsibilities include code development and review, troubleshooting, access-control evaluation, resiliency, automation, and enterprise AI-assisted workflows. Collaborates within agile teams to support large-scale analytical and operational data use cases.
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As a Lead Software Engineer at JPMorganChase within the CIB, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology data products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
As a Lead Software Engineer at JPMorganChase within the CIB, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology data products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
- Uses enterprise-authorized AI capabilities within the work environment to accelerate data products and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
- Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision
- Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations.
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Required qualifications, capabilities, and skills
- Formal training or certification on data engineering concepts and 5+ years applied experience
- Proficient at processing and analyzing large datasets using Big Data technologies, including Apache Spark, across data platforms comprising of Redshift, SQL DB, RDS and Databricks.
- Design, development, and implementation of scalable data pipelines and data matching solutions on AWS, utilizing Python for data engineering tasks.
- Strong experience in setup and configuration of services such as S3, Step Functions, EMR, Glue, Lambda, RDS, EventBridge, Step-Functions and API Gateway for scripting, automation, and orchestration of data workflows.
- Strong hands-on experience with Databricks and distributed data processing technologies.
- Understanding of data architecture, data modeling, data integration, and data product principles.
- Experience designing and operating large-scale data platforms and data products in complex enterprise environments.
- Development of semantic layer for data consumption using Iceberg tables and APIs.
- Implementation of continuous deployment and integration processes using Infrastructure as Code tools, including Terraform.
- Troubleshoot and resolve issues related to application code and data workflows.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
- Working experience with both relational and NoSQL databases
- Advanced in one or more programming language(s)
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Experience working with modern enterprise data platforms and cloud-native data architectures.
- Experience supporting real-time, analytical, or AI/ML-oriented data use cases.
- Databricks, Snowflake, AWS cloud, or Data Engineering certifications
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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
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