Senior Engineering Manager: AI-Enhanced Data & Spark Platforms

JPMorgan Chase & Co.

Plano (TX)

On-site

USD 130,000 - 150,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in Plano, Texas, is seeking a Manager of Software Engineering. In this role, you will lead multiple teams to enhance and deliver technology products. Responsibilities include overseeing high-throughput data pipelines and ensuring the use of AI-assisted engineering practices. Candidates should have over 10 years of experience in software/data engineering, significant experience with Databricks, and a strong proficiency in Python or Java.

This position emphasizes architectural leadership, innovation in data processing, and a strong understanding of security principles within software engineering.

Qualifications

  • 5+ years of applied experience in software engineering.
  • 10+ years of professional experience with Spark on Databricks or EMR.
  • Experience leading the use of AI-assisted software development tools.
  • Strong proficiency in Python and/or Java for automation.

Responsibilities

  • Lead delivery of high-throughput data pipelines using Databricks and Apache Spark.
  • Ensure adoption of AI-assisted engineering practices.
  • Own Databricks cluster strategy and setup.
  • Implement CI/CD for data projects and champion engineering standards.

Skills

Python
Java
Apache Spark
Databricks
CI/CD

Education

Formal training or certification in software engineering
5+ years applied experience

Tools

Databricks
Terraform
Airflow

Job description

JPMorgan Chase & Co. in Plano, Texas, is seeking a Manager of Software Engineering. In this role, you will lead multiple teams to enhance and deliver technology products. Responsibilities include overseeing high-throughput data pipelines and ensuring the use of AI-assisted engineering practices. Candidates should have over 10 years of experience in software/data engineering, significant experience with Databricks, and a strong proficiency in Python or Java.

This position emphasizes architectural leadership, innovation in data processing, and a strong understanding of security principles within software engineering.

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