Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Lead Data Engineering at JPMorgan Chase within the Consumer and Community Banking team, you design, develop, and maintain robust data pipelines and architectures.. You drive data governance, performance optimization, and mentor engineers while collaborating with business, analytics and technology stakeholders. You ensure scalable, secure, and efficient data solutions that support business objectives and regulatory requirements.
Job Responsibilities
- Design, build, maintain and optimize scalable batch and streaming data pipelines with strong performance, fault tolerance, and observability
- Develop and operate workflow orchestration to schedule, monitor, and manage data movement and transformations
- Translate complex business requirements into technical solutions meeting data lake and data warehousing standards.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
- Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations
- Build and maintain governance processes for data modeling, cataloging, ownership, and access control.
- Provide mentorship and training on data publication best practices to team members and lead the team's technical direction through standards, reviews, and knowledge sharing
- Stay up-to-date with advancements in AWS Data Lake, Snowflake Data Warehouse and related technologies.
- Perform advanced quantitative analysis of large datasets to identify business trends.
- Manage data sharing, exchange, and ecosystem-specific features.
Required Qualifications, Capabilities and Skills
- Hold a Bachelor’s degree in Computer Science, Information Technology, or related field.
- 5+ years of experience in data engineering with deep AWS, Data Lake, and Snowflake expertise.
- Hands-on experience with modern data lake and warehousing technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino.
- Apply Agile methodologies, running ceremonies and prioritizing backlogs for continuous improvement.
- Exhibit proficiency in SQL and experience with data pipeline/ETL tools.
- 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.
- Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.
- Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems
- Experience with large-scale distributed data processing and performance tuning
- Design and implement large-scale data solutions in cloud environments.
Preferred qualifications, capabilities, and skills
- Experience with data modeling in Erwin.
- Experience with table formats such as Iceberg, Hudi
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
Equal Opportunity Employer/Disability/Veterans
About the TeamOur Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You’ll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.Skills Required
- Bachelor's degree in Computer Science, Information Technology, or related field
- 5+ years of data engineering experience with deep AWS, Data Lake, and Snowflake expertise
- Hands-on experience with Redshift, BigQuery, Snowflake and engines such as Spark, Flink, or Trino
- Proficiency in SQL and experience with data pipeline/ETL tools
- Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems
- Experience with large-scale distributed data processing and performance tuning
- Design and implement large-scale data solutions in cloud environments
- Apply Agile methodologies, run ceremonies, and prioritize backlogs
- Experience using enterprise-authorized AI capabilities within the work environment for data engineering workflows
- Ability to review and validate AI-assisted outputs and follow data handling and security requirements
- Build and maintain governance processes for data modeling, cataloging, ownership, and access control
- Provide mentorship and lead technical direction through standards, reviews, and knowledge sharing
- Experience with data modeling in Erwin
- Experience with table formats such as Iceberg or Hudi
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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