Lead Data Engineer

Embrace this pivotal role as an essential member of a high performing team dedicated to reaching new heights in data engineering. Your contributions will be instrumental in shaping the future of one of the world s largest and most influential companies.

As a Lead Data Engineer at JPMorgan Chase within the Consumer & Community Banking in Connected Commerce Travel Technology Team, you are an integral part of an agile team that works to enhance, build, and deliver large-scale data collection, storage, access, and analytics in a secure, stable, and scalable way. Leverage your deep technical expertise and problem solving capabilities to lead and drive significant business impact and tackle a diverse array of challenges that span multiple data pipelines, data architectures, and other data consumers.

Job responsibilities

• Lead the design, development, and maintece of robust, scalable cloud-based data processing pipelines and infrastructure, ensuring adherence to engineering standards, goverce frameworks, and industry best practices.
• Architect and refine data models for large-scale datasets, optimizing for efficient storage, high-performance retrieval, and advanced analytics while upholding data integrity and quality.
• Partner with cross-functional teams to translate complex business requirements into effective, scalable data engineering solutions that drive organizational value.
• Champion a culture of innovation and continuous improvement, proactively identifying and implementing enhancements to data infrastructure, processing workflows, and analytics capabilities.
• Define and execute data strategy, including the development of enterprise data models and the management of end-to-end data infrastructure from design and construction to installation and ongoing maintece of large-scale processing systems.
• Drive data quality initiatives, ensure seamless data accessibility for analysts and data scientists, and maintain strict compliance with data goverce and regulatory requirements.
• Align data engineering practices with business objectives, ensuring solutions are both technically sound and strategically relevant.
• Author, review, and approve technical requirements and architectural designs, and lead process re-engineering efforts to deliver cost-effective, high-impact business solution

• Hands-on experience with Infrastructure as Code (IaC) tools, preferably Terraform; experience with AWS CloudFormation is also valued.
• Proficiency in cloud-based data pipeline technologies such as Fivetran, dbt, Prophecy. io, or similar platforms.
• Experience with front-end development frameworks, ideally React; familiarity with Angular is also beneficial.
• Strong working knowledge of the Snowflake data platform.
• Experience in budgeting and resource allocation for data engineering projects.
• Proven ability to manage vendor relationships effectively.