Principal Software Engineer - Databricks

JPMorganChase; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

On-site health centers

Retirement plan

Tuition reimbursement

Mental health support

Job summary

JPMorganChase in Jersey City is seeking a Principal Software Engineer to join the Chief Data & Analytics Office - AIML Data Platforms Team. You will drive secure, scalable engineering across AI/ML enabled workflows and enterprise tools.

You will lead design reviews, mentor engineers, and collaborate with senior stakeholders to deliver trusted technology that supports risk management and decision making.

Qualifications

• 10+ years of experience leading technology organizations and delivering enterprise‑scale programs.
• Proficient in Python and SDLC processes around it at an enterprise grade.
• Proficient in AWS Infrastructure provisioning using Terraform and Hands‑on experience in AWS resources focusing on Network boundaries, Resource and IAM policies, cross account / region access patterns and Compute at Scale.
• Executive‑level stakeholder leadership: demonstrated ability to influence and align senior leaders across business, product, and technology organizations.
• Deep expertise in Databricks in large enterprises, including architecture, performance tuning, cost management, security patterns, and operational excellence.

Responsibilities

• Creates complex and scalable coding frameworks using appropriate software design frameworks.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Architects and governs agentic AI-enabled engineering workflows to improve delivery speed, code quality, and operational outcomes at scale, while defining guardrails for validation, security, resiliency, and reuse across teams.
• 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 at scale.
• Advises cross-functional teams on technological matters within domain of expertise
• Serves as the function's go-to subject matter expert
• Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
• Creates durable, reusable software frameworks that are leveraged across teams and functions
• Influences leaders and senior stakeholders across business, product, and technology teams

Skills

Python

Leadership

Stakeholder management

AI/ML concepts

Cloud computing

Tools

AWS

Terraform

Databricks

CI/CD tooling

Job description

Job Description

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision‑making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As a Principal Software Engineer at JPMorganChase within the Chief Data Analytics Office - AIML Data Platforms Team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best‑in‑class outcomes across various technologies to support one or more of the firm's portfolios.

Job Responsibilities

• Creates complex and scalable coding frameworks using appropriate software design frameworks
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root‑cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.
• 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 at scale.
• Advises cross‑functional teams on technological matters within domain of expertise
• Serves as the function's go‑to subject matter expert
• Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
• Creates durable, reusable software frameworks that are leveraged across teams and functions
• Influences leaders and senior stakeholders across business, product, and technology teams
• Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root‑cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.
• 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 at scale.

Required Qualifications, Capabilities, And Skills

• 10+ years of experience (or equivalent expertise) leading technology organizations and delivering complex, enterprise‑scale programs.
• Proficient in Python and SDLC processes around it at an enterprise grade.
• Proficient in AWS Infrastructure provisioning using Terraform and Hands‑on experience in AWS resources focusing on Network boundaries, Resource and IAM policies, cross account / region access patterns and Compute at Scale.
• Executive‑level stakeholder leadership: demonstrated ability to influence and align senior leaders across business, product, and technology organizations.
• Deep expertise in Databricks in large enterprises, including architecture, performance tuning, cost management, security patterns, and operational excellence.
• Ability to manage multiple portfolios and competing priorities, establishing clarity, execution discipline, and transparent decision‑making.
• Demonstrated experience designing and leading adoption of agentic AI‑enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human‑in‑the‑loop validation, auditability/traceability of changes, and secure handling of sensitive data.
• Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk‑based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.
• Demonstrated experience designing and leading adoption of agentic AI‑enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human‑in‑the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
• Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk‑based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.

Preferred Qualifications, Capabilities, And Skills

• Strong understanding of global data governance, privacy, and regulatory requirements, with the ability to translate them into pragmatic technical architecture decisions and engineering requirements. Strong understanding of modern data platform architectures (data lakes, data warehouses, lakehouse) and distributed computing frameworks.
• Proven experience with enterprise metadata, catalog, and lineage platforms, plus practical expertise with data contracts and schema governance.

About Us

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
• 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

About The Team

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.