The Senior Lead Software Engineer will manage Databricks platform, drive migrations, optimize infrastructure, and mentor teams to enhance technology products.
Job Description
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
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
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
Preferred qualifications, capabilities, and skills
- 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)
Top Skills
Aws S3
Ci/Cd
Databricks
Iam
Pyspark
SAS
Similar Jobs at JPMorganChase
Financial Services
Lead multiple technical teams in software engineering, providing coaching, overseeing projects, improving operational efficiencies, and facilitating collaboration across stakeholders.
Top Skills:
AppdynamicsAWSCassandraCucumberDomain Driven DesignElk StackFortifyGitGrafanaJavaJenkinsJunitKafkaMavenMicroservicesMockitoObject-Oriented DesignPrometheusReactRest ApisSonarqubeSplunkSpring BootSpring CoreTest Driven Development
Financial Services
The Client Data Specialist enhances data processes for KYC compliance, supports client onboarding, addresses service issues, and promotes operational efficiencies.
Top Skills:
Microsoft Office Suite (ExcelPowerpoint)Word
Financial Services
As a Client Data Analyst, you will enhance data collection processes, support compliance with KYC and AML requirements, and analyze transaction data while fostering a proactive culture of accountability.
Top Skills:
Microsoft Office Suite (ExcelPowerpoint)Word
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
