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 Corporate Technology Data Analytics Platform team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Build the future of Corporate Data Platforms with us! Join our Corporate Data & Analytics Platform Strategy team to create impactful, scalable solutions. Collaborate with experts across Corporate Technology and central platform teams to drive meaningful change. Bring your engineering and data platform skills to a team that values creativity and technical excellence. As a Vice President in Data Strategy for CT Data Platforms, you will partner with engineering teams to help drive functional and technical architecture, focusing on hands-on development to enable Databricks capabilities, evaluate new Databricks features, and deliver reference implementations and best practices for platform enablement.

Job responsibilities

• Partner with engineering and central platform teams to enable and scale core data lake capabilities on Databricks across 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 broader Corprate Data & Analytics Platform engineers’ reference and understanding.
• Explore agentic solutions and tools to improve automation, developer experience, and operational efficiency.
• Logs metrics, tracing; reliability and Site Reliability Engineering practices.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands on experience in cloud data engineering and platform engineering with hands-on enablement of data platform capabilities.
• Strong hands on expertice in AWS, VPC design, subnets, routing, security groups, NACLs, Transit Gateway, Private Link
• Proficiency in Kubernetes (EKS) and AWS ECS expertise; containerization, orchestration, and workload scaling.
• Advanced in one or more programming language(s) such as Python and SQL
• Hands on experience and proficiency in Databricks experience (Unity Catalog, Delta Lake) and familiarity with Lakehouse patterns.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, including
• Proficiency in automation and continuous delivery methods CI/CD and Infrastructure as Code (Terraform or CloudFormation); automated testing and release pipelines.
  Preferred qualifications, capabilities, and skills- Exposure to agentic solutions and tools for data platforms