Senior Lead Data Engineer Financial Accounting

You have the opportunity to unleash your full potential at a world-renowned company and take the lead in shaping the future of technology.

As a Senior Lead Data Engineer at JPMorgan Chase within Enterprise Technology you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure stable and scalable way. Lead data engineering within Finance Technology for the General Ledger defining the data strategy and partnering with software engineers and central platform teams to deliver world class data capabilities.

Job responsibilities

• Partner with engineering and central platform teams to enable and scale core data lake capabilities on Databricks covering ingestion processing governance cataloging quality lineage access and consumption.
• Pilot and evaluate new tools and services; run proof-of-concepts define selection criteria and success metrics and integrate successful solutions into the platform.
• Operate within Agile SDLC; coordinate with stakeholders and provide clear updates on progress and priorities.
• Drive performance scalability and reliability through capacity planning stress testing and performance tuning.
• Document best practices guardrails patterns and runbooks; maintain a knowledge base and onboarding materials for the broader engineering community.
• Explore and implement agentic solutions and automation tools to improve developer experience and operational efficiency.
• Provide recommendations and insight on data management and governance procedures including acquisition maintenance validation and utilization of data.
• Design and deliver secure stable and scalable data platform solutions including database backup recovery and archiving strategies.
• Approve data analysis tools and processes generate advanced data models and advise junior engineers and technologists.
• Evaluate and report on access control processes to ensure effectiveness of data asset security.

Required qualifications capabilities and skills

• Formal training or certification in software engineering concepts and 5 years of applied experience.
• Hands-on experience in cloud data engineering and platform engineering with a focus on enabling data platform capabilities.
• Strong expertise in AWS (VPC design subnets routing security groups NACLs).
• Proficiency in Kubernetes (EKS) AWS ECS containerization orchestration and workload scaling.
• Advanced programming skills in Java/Python and SQL
• Hands-on experience with Databricks (Unity Catalog Delta Lake) and familiarity with Lakehouse patterns.
• Advanced understanding of agile methodologies CI/CD application resiliency and security.
• Proficiency in automation and continuous delivery methods (CI/CD Infrastructure as Code with Terraform or CloudFormation) automated testing and release pipelines.
• Working experience with both relational and NoSQL databases like MongoDB.
• Advanced understanding of database backup recovery and archiving strategy.
• Experience presenting and delivering visual data to senior stakeholders.

• Hands-on experience in cloud data engineering and platform engineering with a focus on enabling data platform capabilities.