Lead Data Platform Engineer

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Plano, TX
Posted
24 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $190k
$163k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $169,550–$211,200.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Lead Data Platform Engineer

As a Lead Data Platform Engineer (AWS) within the Corporate Sector's AI/ML & Data Platforms team, you will serve as a core technical contributor in an agile environment focused on delivering secure, stable, and scalable technology products. You will design and implement secure Data Lake solutions within AWS while developing Infrastructure as Code using Terraform, Python, or Java to create cloud resources. Your daily responsibilities include evaluating new AWS Data Management features, integrating AI-assisted engineering practices for code quality and automation, and analyzing large datasets to improve system architecture. You must possess expertise in Glue, EMR, Athena, Redshift, and Lake Formation. The role requires proficiency in Python, Java, and database query languages to solve complex technical problems while ensuring responsible AI usage and secure handling of sensitive data workloads within a corporate environment.

What you'll do

  • Design and implement secure Data Lake solutions within the AWS environment.
  • Develop Infrastructure as Code (IaaS) using Terraform, Python, or Java to create cloud resources.
  • Evaluate and integrate new Data Management features offered by AWS services.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices for code quality and delivery speed.
  • Establish validation standards for secure coding, peer reviews, and automated testing.
  • Identify patterns in data to improve coding hygiene and system architecture.
  • Analyze large datasets to create visualizations and reports for continuous software improvement.
  • Contribute to engineering communities of practice to explore emerging technologies.

What we're looking for

  • Formal training or certification in software engineering concepts.
  • 5+ years of applied experience in software engineering.
  • Hands-on experience with AWS services, specifically Glue, EMR, Athena, Redshift, and Lake Formation.
  • Proficiency in Python, Java, and database query languages for application development and maintenance.
  • Experience leading the use of approved AI-assisted software development tools to improve code quality and delivery.
  • Strong understanding of responsible AI practices, including data sensitivity and secure handling of inputs/outputs.
  • Solid knowledge of the Software Development Life Cycle (SDLC).
  • Experience with Terraform or other Infrastructure as Code (IaaS) tools.

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