Lead Software Engineer in Databricks, ML, and AWS at JPMorgan Chase within the Corporate Technology – Consumer & Community Bank Finance group. In this senior technical leadership role, you will architect and deliver high-throughput, low-latency data pipelines using Databricks and Spark, establish lakehouse patterns with Delta Lake, and drive AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. You will own Databricks cluster strategy and setup, orchestrate jobs with Databricks Workflows, and design secure data ingestion and transformation frameworks while enforcing data quality, lineage, and governance. You will build reusable libraries and APIs in Python and/or Java, implement CI/CD for data projects, and mentor team members in secure engineering practices. Required qualifications include 8+ years of professional software/data engineering experience with Spark on Databricks or EMR, strong Python/Java skills, and hands-on Databricks expertise. Preferred qualifications include Delta Live Tables, AWS networking knowledge, Terraform, cost optimization, observability, and leadership in code quality and mentorship. This on-site position is based in Plano, Texas, United States, and is aligned with JPMorgan Chase’s commitment to secure, scalable technology solutions.

Lead Software Engineer in Databricks, ML, and AWS at JPMorgan Chase within the Corporate Technology – Consumer & Community Bank Finance group. In this senior technical leadership role, you will architect and deliver high-throughput, low-latency data pipelines using Databricks and Spark, establish lakehouse patterns with Delta Lake, and drive AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. You will own Databricks cluster strategy and setup, orchestrate jobs with Databricks Workflows, and design secure data ingestion and transformation frameworks while enforcing data quality, lineage, and governance. You will build reusable libraries and APIs in Python and/or Java, implement CI/CD for data projects, and mentor team members in secure engineering practices. Required qualifications include 8+ years of professional software/data engineering experience with Spark on Databricks or EMR, strong Python/Java skills, and hands-on Databricks expertise. Preferred qualifications include Delta Live Tables, AWS networking knowledge, Terraform, cost optimization, observability, and leadership in code quality and mentorship. This on-site position is based in Plano, Texas, United States, and is aligned with JPMorgan Chase’s commitment to secure, scalable technology solutions.