Lead Software Engineer: Data Engineering

Next Frontier Capital; Columbus (OH); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorganChase seeks an Engineering Lead within Employee Platforms to own the technical direction and hands-on delivery of secure, scalable data engineering on AWS and Databricks. You will lead architecture and production reliability as a core technical contributor, collaborating with product, analytics, and security teams to drive roadmaps.

You will mentor engineers, champion SDLC standards, and apply enterprise AI tools like GitHub Copilot and Claude Code to accelerate refactoring, testing, and

Qualifications

• 5+ years applied data engineering experience with architecture ownership.
• Hands-on experience delivering system design, development, testing, and operational stability.
• Strong Python coding skills with Databricks and Spark experience.
• Experience leading AI-assisted software development tools and validating AI outputs for correctness, performance, and security.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies (CI/CD, resilience, security).
• Experience with AWS and lakehouse/data platform patterns.
• Proven technical leadership through architecture decisions and cross-team influence.

Responsibilities

• Executes creative software solutions and technical troubleshooting beyond routine approaches.
• Develops secure, high-quality production code and reviews others' code.
• Architects and delivers data platforms and pipelines on AWS and Databricks using Spark and Delta.
• Builds libraries, pipelines, and automation for reuse.
• Owns data quality, monitoring, SLAs, incident triage, and cost optimization.
• Drives SDLC standards including testing strategy and secure coding.

Skills

Python coding

Databricks

Spark

AI-assisted tools

SDLC & CI/CD

Mentorship

Security & Resiliency

Education

Data engineering certification

Tools

GitHub Copilot

Claude Code

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As an Engineering Lead at JPMorganChase within Employee Platforms, you are an integral part of an agile team responsible for the hands-on delivery and architecture of secure, stable, scalable data engineering solutions on AWS and Databricks. As a core technical contributor, you own technical direction, develop critical components, drive production reliability, and deliver trusted technology products 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
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Architects and delivers data platforms and pipelines across ingestion, transformation, curation, and consumption on AWS and Databricks using Spark and Delta.
• Builds reusable Python and/or Scala libraries, frameworks, pipeline templates, and automation.
• Owns operational excellence, including data quality, monitoring and alerting, SLAs, incident triage and RCA, and performance and cost optimization.
• Drives SDLC standards covering CI/CD, testing strategy, secure coding, resiliency patterns, and design and code reviews.
• Leads and mentors engineers and partners with product, analytics, and security teams to deliver roadmaps and execution.
• Uses enterprise-authorized GenAI developer tools such as GitHub Copilot and Claude Code to accelerate refactoring, test generation, and documentation with strong validation and controls.
• 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.
• 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 with architecture and production ownership concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Strong Python coding skills, and deep experience with Databricks and Spark.
• 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.
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Strong experience with AWS and modern lakehouse and data platform patterns.
• Proven technical leadership through architecture decisions, mentoring, and cross-team influence.

Preferred qualifications, capabilities, and skills

• AWS certification and/or Databricks certification.
• Experience with streaming architectures, including event-driven ingestion, near-real-time processing, and operational support for monitoring, alerting, and recovery.

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

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Data Engineering Lead with Experience in AWS, Databricks and Spark