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

• Certifications in Databricks or Snowflake technologies