Senior Lead Software Engineer - Databricks Platform Engineer

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking Risk 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Plan and deliver SAS-to-PySpark migrations on Databricks (cutover, validation, rollback).
• Build and maintain automated conversion utilities and CI/CD pipelines.
• Own data conversion and migration (schema mapping, quality checks, reconciliation, lineage).
• Run office hours for user communities, coach engineers, and drive best practices and standards.
• Optimize Databricks infrastructure (clusters, policies, performance, and cost).

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• Hands On experience  in data/analytics engineering; 5+ years leading large-scale Pyspark/Databricks programs.
• Proven SAS-to-PySpark migration delivery into production with measurable outcomes.
• Track record in data migration, quality assurance, and operational readiness

• Deep PySpark expertise (performance tuning, ETL functionality).
• Databricks platform proficiency (Unity Catalog, SQL Warehouses, job/cluster policies, MLflow basics).
• Automation and CI/CD (build/deploy pipelines, release management).
• Cloud fundamentals (AWS S3, IAM, networking, monitoring)