JP Morgan Chase & Co.

Lead Software Engineer - DataBricks, Spark, Terraform

JP Morgan Chase & Co. • $130K — $155K *
Chicago, IL 60603In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 7+ years in data/platform engineering with hands-on Databricks experience.
  • Strong proficiency in Spark (PySpark/Scala) and SQL for performance tuning.
  • Experience building and operating data platforms with batch/stream ingestion.
  • Familiarity with data lake design and optimization (Databricks, SnowFlake, AWS).
  • Knowledge of Unity Catalog for governance and data lineage auditing.
  • Solid software engineering fundamentals (Git, CI/CD, automated testing).
  • Experience implementing observability for pipelines and SQL workloads.
  • Strong communication skills for leading technical decisions.

Responsibilities

  • Define and drive the technical roadmap for the Databricks lakehouse/database platform.
  • Design curated datasets using Delta Lake and enforce best practices.
  • Build for availability and establish operational protocols for performance.
  • Implement governance frameworks and access controls for secure data handling.
  • Optimize performance and cost of Spark/SQL workloads and clusters.
  • Set standards for engineering excellence in code quality and documentation.
  • Mentor engineers and collaborate with stakeholders to enhance platform capabilities.
  • Drive adoption of AI-assisted engineering practices and improve operational outcomes.

Benefits

  • Opportunity to impact career growth in a dynamic environment.
  • Engage with cutting-edge AI-assisted development tools.
  • Be part of an agile team delivering market-leading technology solutions.
  • Access to mentorship and opportunities to coach other engineers.
Full Job Description
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 a Lead Software Engineer at JPMorganChase within the Corporate - Employee Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology 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. 

We use AI-assisted development as part of our day-to-day workflow, including GitHub Copilot for coding and native Databricks tools such as Databricks SQL Assistant and Genie to accelerate development, troubleshooting, and self-service analytics—while maintaining strong engineering controls and review practices.

Job responsibilities

  • Platform leadership & architecture — Define and drive the technical roadmap for our Databricks lakehouse/database platform (ingestion, storage, modeling, serving) with clear standards and reference patterns. 
  • Data modeling & database engineering — Design curated datasets (e.g., medallion architecture) using Delta Lake, dimensional/semantic modeling where appropriate, and enforce consistent naming, partitioning, and performance practices. 
  • Reliability & operations — Build for availability and predictable performance; establish SLOs, runbooks, alerting, incident response, and operational hygiene for pipelines and SQL workloads. 
  • Security, governance & access controls — Implement and maintain strong governance (e.g., Unity Catalog), least-privilege access, auditing, data classification, and lifecycle management. 
  • Performance & cost management — Tune Spark/SQL workloads, optimize clusters/warehouses, manage caching and storage patterns, and implement cost observability/chargeback as needed. 
  • Engineering excellence — Set standards for code quality, testing, CI/CD, branching strategy, documentation, and review. Establish reusable libraries/templates and enforce consistency across teams. 
  • Mentorship & collaboration — Coach engineers, lead design reviews, and partner with stakeholders to translate business needs into scalable data platform capabilities.
  • 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.
Required qualifications, capabilities, and skills
  • 7+ years in data engineering/platform engineering, with hands-on Databricks experience in production environments. 
  • Strong proficiency in Spark (PySpark/Scala) and SQL, including performance tuning and troubleshooting. 
  • Proven experience building and operating data platforms: batch/stream ingestion, transformation frameworks, orchestration, and curated data layers. 
  • Experience with Data Lake, (DataBricks, SnowFlake, or AWS) table design, and optimization (partitioning, Z-ORDER, file sizing). 
  • Familiarity with Unity Catalog (or equivalent governance tooling): permissions, catalogs/schemas, lineage/auditing concepts. 
  • Solid software engineering fundamentals: Git, CI/CD, automated testing, code reviews, modular design, and documentation. 
  • Experience implementing observability (logs/metrics/traces), data quality checks, and monitoring for pipelines and SQL workloads. 
  • Strong communication skills and demonstrated ability to lead technical decisions across teams.
  • 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
 
Preferred qualifications, capabilities, and skills
  • Databricks features: Workflows, Delta Live Tables (DLT), Structured Streaming, Databricks SQL Warehouses. 
  • Transformation frameworks (e.g., dbt) and semantic layer patterns. 
  • Infrastructure-as-code (e.g., Terraform) and automated environment provisioning. 
  • Experience with regulated-data environments, privacy controls, and enterprise data governance programs. 

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Finance & Insurance
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ
CCF
* Ladders Estimates

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