Lead Data Platform Engineer (Java & AWS) — Mentorship & Impact

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 180,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City, NJ, seeks a Lead Software Engineer within the Corporate Technology Office to lead a technical area and drive impact across teams, technologies, and projects.

You will leverage deep expertise in software engineering, data engineering, and product management to deliver complex initiatives. Responsibilities include designing and maintaining ETL data pipelines with Databricks, architecting data lake/warehouse solutions on AWS, and mentoring engineers while

Qualifications

• 5+ years of professional software engineering experience
• Experience with Java or Python for data engineering tasks
• Hands-on Databricks and AWS data services experience
• Experience with Apache Spark for large-scale data processing
• Experience with monitoring/observability tools (Dynatrace/Splunk/Grafana/Prometheus)
• Leadership experience mentoring engineers

Responsibilities

• Design, build, and optimize ETL data pipelines using Databricks (Spark, Delta Lake, Unity Catalog)
• Architect data lake and data warehouse solutions on AWS (S3, Glue, SQS, SNS, Lambda, EMR)
• Lead and mentor a team of engineers with technical guidance and code reviews
• Promote observability, resiliency, and cost-efficient cloud architecture across platforms
• Monitor, troubleshoot, and tune pipelines and cloud resources for performance and reliability

Skills

Java

Python

Team leadership

Data engineering

Spark

Cloud architecture

Mentoring

Observability

Education

Bachelor's degree in Computer Science

Formal training in software engineering

Tools

Databricks

AWS

Kubernetes

Docker

SpringBoot

Dynatrace

Splunk

Grafana

Prometheus

Job description

JPMorgan Chase & Co. in Jersey City, NJ, seeks a Lead Software Engineer within the Corporate Technology Office to lead a technical area and drive impact across teams, technologies, and projects.

You will leverage deep expertise in software engineering, data engineering, and product management to deliver complex initiatives. Responsibilities include designing and maintaining ETL data pipelines with Databricks, architecting data lake/warehouse solutions on AWS, and mentoring engineers while