Lead Software Engineer- Data Platforms

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 JPMorgan Chase within the Commercial & Investment Bank - Digital & Platform Services, you play a vital role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading data technology products with a focus on security, stability, and scalability.

As a key technical contributor, you will develop essential technology solutions across diverse technical domains, supporting various business functions to achieve the firm's strategic goals.

Job responsibilities


* Executes creative software & data solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems


* Designs and implements scalable data architectures, data modeling, ETL processes, and data warehousing solutions.


* Understands data governance, data quality, and data security principles.


* Develops secure high-quality production code, and reviews and debugs code written by other engineers


* Leads communities of practice across Data Engineering to drive patterns, awareness and use of new and leading-edge technologies


* Adds to team culture of diversity, opportunity, inclusion, and respect


* Integrates large language models (LLMs) into data processing workflows.


* Develops solutions with natural language processing (NLP) techniques and tools.


* Develops and deploys machine learning models for data engineering tasks.

Required qualifications, capabilities, and skills


* Formal training or certification on Data Engineering concepts and 5+ years applied experience


* Hands-on practical experience delivering data systems design, application development, testing, and operational stability.


* Advanced in one or more big data programming language(s) - Spark, PySpark, and Kafka.


* Experience in engineering data products using Databricks and/or snowflake technologies.


* Proficient in data pipeline and workflow management tools (e.g., Apache Airflow, Flink)


* Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security


* Demonstrated proficiency in developing software applications within technical domains such as cloud, data artificial intelligence, machine learning.


* In-depth knowledge of the financial services industry and data


* Practical cloud native experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.


* Strong collaboration skills to work effectively with cross-functional teams and stakeholders.

Preferred qualifications, capabilities, and skills



* Ability to lead, influence and mentor team of data engineers on adopting right technical solutions.


* Hands-on experience with cloud services such as S3, IAM, Glue, EKS, ECS, Athena


* Certific...