Lead Software Engineer - Data/Payments Technology

Aumni; Plano (TX); Presencial; USD 180 000 - 240 000; Tempo integral

Resumo da oferta

JPMorganChase is seeking a Lead Software Engineer in Plano, TX to drive enterprise data products and scalable data platforms. You will mentor a team, set engineering standards, and lead advanced data engineering initiatives across analytical, operational, and AI-driven use cases.

You will work with architects, product teams, and data producers to translate business needs into robust data solutions, ensuring security, reliability, and performance in a large enterprise environment.

Qualificações

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Minimum of 10+ years of software and/or data engineering experience building enterprise-scale solutions.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s).
• Demonstrated experience leading effective use of AI-assisted software development tools 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 adoption.
• Deep hands-on experience with Databricks and distributed data processing technologies.
• Strong programming and data engineering fundamentals with experience building production-grade data solutions.
• Strong 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.
• Strong engineering judgment with the ability to independently troubleshoot complex technical problems and influence solution direction.

Responsabilidades

• Lead the design and development of scalable, reliable data products.
• Provide hands-on technical leadership across design, implementation, code reviews, troubleshooting, and production readiness.
• Drive adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Apply SDLC tools and AI-assisted development to improve automation value.
• Establish and promote Data Engineering patterns and standards.
• Design solutions supporting analytical, operational, reporting, and AI-driven use cases.
• Drive data quality, reliability, observability, governance, performance, and scalability.
• Partner with architects, product teams, engineers, and data producers/consumers to translate business needs into data solutions.
• Mentor engineers and build Data Engineering capability within the team.
• Identify opportunities to simplify platforms and increase reuse.

Conhecimentos

Databricks

Data engineering

AI-assisted tools

Leadership

Programming languages

Formação académica

Formal training or certification in software engineering

Ferramentas

Databricks ecosystem

Descrição da oferta de emprego

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 Commercial & Investment Bank - Global Banking Sales Enablement team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology and data 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. You will play a key role in building and evolving enterprise data products and strengthening our Data Engineering capabilities. This role requires a strong hands‑on Data Engineer with deep experience in the Databricks ecosystem, enterprise‑scale data platforms, and modern data engineering practices. You will contribute directly to solution design and implementation while providing technical leadership, establishing engineering patterns, and helping develop the broader team.

Job responsibilities

• Lead the design and development of scalable, reliable, and reusable enterprise data products.
• Provide hands‑on technical leadership across solution design, implementation, code reviews, troubleshooting, and production readiness
• 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.
• Establish and promote effective Data Engineering patterns and standards across the team.
• Design solutions that support analytical, operational, reporting, and AI‑driven use cases.
• Drive data quality, reliability, observability, governance, performance, and scalability across data products.
• Partner with architects, product teams, engineers, and data producers/consumers to translate business needs into sustainable data solutions.
• Mentor engineers and help build strong Data Engineering capability within the team.
• Identify opportunities to simplify platforms, improve engineering productivity, and increase reuse.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Minimum of 10+ years of software and/or data engineering experience building enterprise‑scale solutions.
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• 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
• Deep hands‑on experience with Databricks and distributed data processing technologies.
• Strong programming and Data Engineering fundamentals with experience building production‑grade data solutions.
• Strong 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.
• Strong engineering judgment with the ability to independently troubleshoot complex technical problems and influence solution direction.

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.
• Experience delivering data solutions within financial services or another highly regulated environment.
• Relevant Databricks, Cloud, or Data Engineering certification.

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

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Carry out critical tech and data solutions across multiple technical areas as an integral part of an agile team