Lead Software Engineer- Data Engineer/Pyspark/Databricks

JPMorgan Chase & Co.; Houston (TX); Presencial; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

JPMorgan Chase & Co. in Houston, TX is seeking a Lead Software Engineer to architect and deliver a secure, scalable Global KYC and Risk Assessment Data Platform.

You will lead an agile data engineering team, mentor peers, and drive AI-assisted engineering practices to improve code quality, speed, and operational outcomes. The role requires deep experience in Python/Java, data engineering, cloud, and large-scale systems, with collaboration across executives and cross-functional teams.

Formación

• Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale.
• Expert in Python and/or Java with strong software engineering practices.
• Experience leading AI-assisted software development tools and validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use, data sensitivity, secure handling, and security resiliency.

Responsabilidades

• Develops secure, high-quality production code for data-intensive applications and platforms, and mentors other engineers.
• Creates durable, reusable software frameworks and patterns across teams.
• Drives adoption of advanced methods aligned with industry standards and product development.
• Advises cross-functional teams on technical matters in your domain.
• Drives team adoption of AI-assisted engineering practices to improve quality, delivery speed, and operations, with standardized validation and reuse of patterns.
• Applies SDLC tools and AI-assisted development to improve automation value at scale.
• Applies tools to improve automation value within delivery practices.

Conocimientos

Python

Java

Data engineering

Cloud

API design

Kafka

Redis

Observability

Airflow

Temporal

LLM orchestration

Herramientas

Spark/PySpark

Databricks

Snowflake

Apache Iceberg

Airflow

Temporal

Descripción del empleo

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.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector, you provide expertise and engineering excellence as an integral part of an agile data engineering team. To enhance, build, and deliver a trusted market leading Global Know Your Customer (KYC) and Risk Assessment Data Platform 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:

• Develops secure, high-quality production code for data-intensive applications and platforms, and reviews and mentors other engineers
• Creates durable, reusable software frameworks and patterns that are leveraged across teams and functions
• Drives adoption of advanced technical methods and practices aligned with the latest industry standards and product development methodologies
• Advises cross-functional teams on technological matters within your domain of expertise
• 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.
• 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

• Hands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scale
• Expert in one or more programming languages, particularly Python and/or Java
• Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering)
• 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
• Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)
• Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
• Practical cloud-native experience (AWS, Azure, or GCP)
• Ability to present and effectively communicate with senior leaders and executives

Preferred qualifications, capabilities, and skills

• Experience with modern data platforms such as Databricks or Snowflake
• Deep hands-on experience with Spark/PySpark and other big data processing technologies
• Expertise in open-source table formats and catalog services such as Apache Iceberg
• Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)