Senior Manager of Software Engineering, Big Data

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

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

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Salary context

How this pay compares to similar roles

Similar $197k
$117k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $171,750–$222,000.

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 · Senior Manager of Software Engineering, Big Data

Senior Manager of Software Engineering - Big Data, Databricks serves as a senior lead within the Consumer and Community Banking Risk Technology Portfolio team. This role involves providing technical guidance to teams and vendors while developing secure production code and designing large-scale solutions using AWS cloud services. The position focuses on migrating legacy big data applications to cloud-native platforms with zero downtime and building tools for automation, monitoring, and reporting. Key responsibilities include driving the adoption of AI-assisted engineering practices across the software development life cycle to improve code quality and delivery speed. Required skills include expertise in Python, Java, Spark, Hadoop, and Machine Learning libraries like Pandas and Numpy. The role addresses complex technical challenges involving data pipelines, RAG architectures, and infrastructure architecture within a secure, stable, and scalable production environment.

What does a Software Engineering Manager earn?

Median $223750 from 106 postings across 38 companies.

See salary data

What you'll do

  • Develop secure, high-quality production code and perform peer code reviews and debugging.
  • Drive the adoption and governance of AI-assisted engineering practices to improve code quality and delivery speed.
  • Provide technical guidance and direction to business teams, contractors, and vendors.
  • Design and develop large-scale solutions and platforms using AWS cloud services.
  • Migrate legacy and big data applications to cloud-native architectures with zero downtime.
  • Develop tools to monitor and automate the provisioning of components, processes, and reports.
  • Influence product design and technical decisions by advocating for leading-edge technologies.

What we're looking for

  • Formal training and certification on software engineering concepts and 5+ years of applied experience.
  • 2+ years of experience leading technologists to manage and solve complex technical items within a domain of expertise.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Advanced proficiency in one or more programming languages and frameworks such as Python, Java, Big Data, or Machine Learning.
  • Advanced knowledge of software applications, technical processes, and architecture disciplines including cloud, AI, and machine learning.
  • Practical experience with cloud native technologies and tools within the SDLC toolchain.
  • Good knowledge of Machine Learning modeling as an engineer.
  • AWS certifications, RAG architectures, Spark data pipelines, and Big Data platforms (preferred).

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